Demand response baseline determination method and apparatus, computer device, and storage medium

Abstract

The application relates to a demand response baseline determination method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining historical temperature control load information, historical use environment information and load use environment information of a user on a calculation day; determining a key environmental factor related to the temperature control load of the user according to the historical temperature control load information and the historical use environment information; comparing the similarity of the historical use environment information and the load use environment information based on the key environmental factor, and determining a plurality of historical similar days similar to the key environmental factor on the calculation day; and determining a demand response baseline of the user on the calculation day according to the historical temperature control load information of each historical similar day. The method can improve the accuracy of demand response baseline determination.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system control, and in particular to a demand response baseline determination method and device, a computer device, a storage medium and a computer program product. BACKGROUND

[0002] Power demand response is a method for ensuring stable operation of a power system when the load of the power system is tight. It refers to a power supply and demand behavior mode in which, when power supply is tight (or excessive) and there is a periodical power shortage (or abundance), a power grid unit, such as a power company or an enterprise, invites users with load adjustment capabilities to actively reduce (or increase) power consumption load in a specific period agreed upon by the power grid and the users according to the supply and demand situation, so as to meet the demand for peak shaving or valley filling of the power system.

[0003] In power demand response, the power demand response baseline can be used as a basis for calculating the load increase or decrease of users participating in demand response. Therefore, it is crucial to accurately determine the power demand response baseline.

[0004] In the prior art, the demand response baseline of most provinces is obtained by averaging the load curves of the previous n days, which ignores the actual load level and actual environmental factors. In particular, in the calculation of temperature control load which is greatly affected by the environment, there is a problem of low accuracy. SUMMARY

[0005] Therefore, it is necessary to provide a demand response baseline determination method, device, computer device, computer readable storage medium and computer program product capable of improving the accuracy of demand response baseline determination to solve the above technical problems.

[0006] In a first aspect, the present application provides a demand response baseline determination method, which comprises:

[0007] obtaining historical temperature control load information, historical use environment information of a user, and load use environment information on a calculation day;

[0008] determining a key environmental factor that meets a strong correlation condition with the temperature control load of the user according to the historical temperature control load information and the historical use environment information;

[0009] performing similarity comparison on the historical use environment information and the load use environment information based on the key environmental factor, to determine a plurality of historical similar days that have similar key environmental factors as the calculation day;

[0010] determining a demand response baseline of the user on the calculation day according to historical temperature control load information of each historical similar day.

[0011] In one of the embodiments, the historical use environment information comprises historical environment moment values of each environment factor at each moment of each historical day; and the historical temperature control load information comprises historical temperature control moment loads at each moment of each historical day.

[0012] The determining of the key environment factor meeting the strong correlation condition with the user temperature control load according to the historical temperature control load information and the historical use environment information comprises:

[0013] The determining of the influence weight of each environment factor on the user temperature control load according to the historical environment moment values of each environment factor at each moment of each historical day and the historical temperature control moment load at the corresponding moment;

[0014] The environment factor with the influence weight greater than the preset weight threshold is determined as the key environment factor meeting the strong correlation condition with the user temperature control load.

[0015] In one of the embodiments, the determining of the influence weight of each environment factor on the user temperature control load according to the historical environment moment values of each environment factor at each moment of each historical day and the historical temperature control moment load at the corresponding moment comprises:

[0016] For each environment factor, the historical environment moment standard values of the environment factor and the first standard average of each historical environment moment standard value are determined according to the historical environment moment values of the environment factor.

[0017] The historical temperature control moment standard loads of the environment factor and the second standard average of each historical temperature control moment standard load are determined according to the historical temperature control moment loads of the environment factor.

[0018] The influence weight of the environment factor on the user temperature control load is determined based on each historical environment moment standard value, the first standard average, each historical temperature control moment standard load and the second standard average.

[0019] In one of the embodiments, the load use environment information comprises use environment moment values of each environment factor at each moment of the calculation day.

[0020] The similarity comparison of the historical use environment information and the load use environment information based on the key environment factor to determine a plurality of historical similar days with similar key environment factors in the calculation day comprises:

[0021] The use environment moment standard values of the key environment factor in the calculation day are determined based on each use environment moment value of the key environment factor.

[0022] For each of the historical days, a similarity value between the historical day and the calculation day is determined according to the respective use environment moment standard value of the key environmental factor, the respective historical environment moment standard value of the historical day, and the influence weight;

[0023] According to the respective similarity value of each of the historical days and a preset similarity threshold, a plurality of historical similar days satisfying a similarity requirement are screened from the historical days.

[0024] In one of the embodiments, the determining of the demand response baseline of the user on the calculation day according to the historical temperature control load information of each of the historical similar days comprises:

[0025] For each of the historical similar days, a correction operation is performed on the historical temperature control load information according to the information difference between the historical use environment information and the load use environment information;

[0026] Based on the corrected reference load information of each of the historical similar days, a reference load average value of each of the historical similar days is calculated;

[0027] The demand response baseline of the user on the calculation day is determined according to the reference load average value.

[0028] In one of the embodiments, the correction operation performed on the historical temperature control load information according to the information difference between the historical use environment information and the load use environment information comprises:

[0029] For each of the environmental factors, an influence value of the environmental factor on the user temperature control load is determined according to the respective historical environment moment value of the environmental factor, the respective historical temperature control moment load, and the number of historical similar days;

[0030] Based on the environmental average value of the environmental factor and the respective use environment moment value, a moment difference value of the environmental factor between the historical similar days and the calculation day is determined;

[0031] According to the respective moment difference value and the influence value, a correction value corresponding to the adjustment of each of the historical temperature control moment loads is determined;

[0032] Each of the historical temperature control moment loads is adjusted according to the respective correction value, and reference load information of the historical similar days relative to the calculation day is obtained.

[0033] In one of the embodiments, the adjustment of each of the historical temperature control moment loads according to the respective correction value to obtain the reference load information of the historical similar days relative to the calculation day comprises:

[0034] The initial adjustment is performed on each of the historical temperature control time load according to the correction value, and initial reference load information of the historical similar day relative to the calculation day is obtained;

[0035] The temperature control device capacity of the calculation day and the historical temperature control device capacity of the historical similar day are obtained;

[0036] The initial reference load information is secondarily corrected based on the capacity ratio of the temperature control device capacity and the historical temperature control device capacity, and reference load information of the historical similar day relative to the calculation day is obtained.

[0037] In a second aspect, the present application further provides a demand response baseline device, and the device comprises:

[0038] An information acquisition module is configured to acquire historical temperature control load information, historical use environment information, and load use environment information on a calculation day of a user;

[0039] A key environment factor determination module is configured to determine a key environment factor that is strongly related to the temperature control load of the user according to the historical temperature control load information and the historical use environment information;

[0040] A similar day determination module is configured to compare the similarity of the historical use environment information and the load use environment information based on the key environment factor, and determine a plurality of historical similar days that are similar to the calculation day in the key environment factor;

[0041] A baseline determination module is configured to determine a demand response baseline of the user on the calculation day according to the historical temperature control load information of each of the historical similar days.

[0042] In a third aspect, the present application further provides a computer device, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0043] In a fourth aspect, the present application further provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the steps of the above method.

[0044] The aforementioned methods, devices, computer equipment, storage media, and computer program products for determining the demand response baseline can, when determining the baseline, first identify key environmental factors that are strongly correlated with the user's temperature-controlled load based on the user's historical temperature-controlled load information and historical usage environment information. Then, based on the key environmental factors, a similarity comparison is performed between the historical usage environment information and the load usage environment information to identify multiple historical similar days that have similar key environmental factors to the calculation date. This can effectively improve the efficiency of determining historical similar days. The temperature-controlled load conditions of multiple historical similar days have a higher similarity to the temperature-controlled load conditions of the calculation date. Therefore, determining the user's demand response baseline on the calculation date based on the historical temperature-controlled load information of multiple historical similar days can effectively improve the accuracy of determining the power demand response baseline, thereby providing a reliable basis for quantitatively evaluating the degree of load reduction of users and effectively improving the utilization rate of social resources. Attached Figure Description

[0045] Figure 1 This is a diagram illustrating the application environment of the demand response baseline determination method in one embodiment;

[0046] Figure 2 This is a flowchart illustrating a method for determining the demand response baseline in one embodiment;

[0047] Figure 3 This is a flowchart illustrating the process of determining the influence weight of each environmental factor on the user's temperature control load based on the historical environmental time value of each environmental factor at each time of each historical day and the corresponding historical temperature control load.

[0048] Figure 4 This is a flowchart illustrating the process of comparing historical usage environment information and load usage environment information based on key environmental factors in one embodiment to determine multiple historical similar days that have similar key environmental factors to the calculation date.

[0049] Figure 5 This is a flowchart illustrating the process of determining the user's demand response baseline on the calculation day based on historical temperature control load information of each historically similar day in one embodiment.

[0050] Figure 6 This is a flowchart illustrating how a correction operation is performed on historical temperature control load information based on the information difference between historical usage environment information and load usage environment information in one embodiment.

[0051] Figure 7 This is a flowchart illustrating the process of adjusting the load at each historical temperature control time according to each correction value in one embodiment to obtain reference load information of historical similar days relative to the calculation day;

[0052] Figure 8Flowchart of a demand response baseline determination method in another embodiment;

[0053] Figure 9 Block diagram of a demand response baseline determination apparatus in an embodiment;

[0054] Figure 10 Internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION

[0055] For the purpose, technical solutions and advantages of the present application to be clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0056] The demand response baseline determination method provided by the embodiments of the present application can be applied in an application environment as shown in Figure 1 . The baseline determination system 102 communicates with the server 104 through a network. The data storage system can store data required to be processed by the baseline determination system 102. The data storage system can be integrated on the baseline determination system 102, or placed on a cloud or other network server. The baseline determination system 102 can obtain the historical temperature control load information of the user, the historical use environment information, and the load use environment information on the calculation day from the server 104, determine the key environmental factors that meet the strong correlation condition with the temperature control load of the user according to the historical temperature control load information and the historical use environment information, perform similarity comparison on the historical use environment information and the load use environment information based on the key environmental factors, determine a plurality of historical similar days that have similar key environmental factors with the calculation day, and determine the demand response baseline of the user on the calculation day according to the historical temperature control load information of each historical similar day.

[0057] The baseline determination system 102 can be integrated on a terminal or a server. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, etc. The server can be implemented by an independent server or a server cluster composed of multiple servers.

[0058] In an embodiment, as shown in Figure 2 , a demand response baseline method is provided. Taking the baseline determination system 102 in Figure 1 as an example, the method includes the following steps:

[0059] S202, obtaining the historical temperature control load information of the user, the historical use environment information, and the load use environment information on the calculation day.

[0060] The historical temperature control load information is information data for reflecting the temperature control load situation of the user in the historical time period, and can be obtained by collecting and recording the temperature control load of the user in the historical time period.

[0061] The historical time period is a historical time period determined for the historical similar day of the calculation day, and the historical similar day of the calculation day is selected from each historical day included in the historical time period. It can be understood that the historical time period can be actually determined by the designer according to the accuracy requirement of the baseline determination, for example, in the case of high accuracy requirement of the baseline determination, the historical time period can be 1 year, 2 years or 3 years, and in the case of low accuracy requirement of the baseline determination, the historical time period can be 1 month, 2 months or 3 months.

[0062] Similarly, the historical use environment information is information data for reflecting the environment situation of the use environment of the temperature control device in the historical time period, which can be obtained by detecting the environment information of the use environment of the temperature control device in the historical time period by the corresponding environment information detection component.

[0063] It can be understood that the historical use environment information can include environment factor values of multiple environment factors in the historical time period. The environment factors can include but are not limited to temperature, humidity, solar radiation, and human heat production.

[0064] The calculation day can be considered as a date for which the demand response baseline of the user needs to be determined, for example, the calculation day can be the current day. The load use environment information of the calculation day is information data for reflecting the environment situation of the use environment of the temperature control device in the calculation day.

[0065] It can be understood that the specific types of information included in the load use environment information are basically the same as the specific types of information included in the historical use environment information. For example, the load use environment information can also include environment factor values of multiple environment factors in the calculation day, and the environment factors can include but are not limited to temperature, humidity, solar radiation, and human heat production.

[0066] Specifically, when the demand response baseline of the user in the calculation day needs to be determined, the baseline determination system can obtain the historical temperature control load information, the historical use environment information, and the load use environment information in the calculation day of the user from the server.

[0067] In some embodiments, the baseline determination system can perform data preprocessing on the obtained historical temperature control load information, historical use environment information, and load use environment information according to a preset preprocessing manner, filter out and remove abnormal data from each information data, and obtain updated historical temperature control load information, historical use environment information, and load use environment information. Subsequently, when determining the baseline, the updated historical temperature control load information, historical use environment information, and load use environment information are used.

[0068] In S204, the key environmental factors that meet the strong correlation condition with the user temperature control load are determined according to the historical temperature control load information and the historical use environment information.

[0069] The strong correlation condition is a judgment condition for judging whether an environmental factor will have a strong influence on the specific load value of the user temperature control load, and the key environmental factor is an environmental factor that meets the strong correlation condition with the user temperature control load among the environmental factors. The key environmental factor changes and has a greater impact on the user temperature control load.

[0070] Specifically, the baseline determination system can determine the key environmental factors that meet the strong correlation condition with the user temperature control load from the environmental factors according to the obtained historical temperature control load information and historical use environment information. It can be understood that the specific number of key environmental factors can be determined according to the actual situation of the temperature control device use environment. The key environmental factor can be single or multiple.

[0071] In some embodiments, the baseline determination system can be preconfigured with a key environmental factor determination model trained according to the strong correlation condition. After obtaining the historical temperature control load information and the historical use environment information, the baseline determination system can directly input the historical temperature control load information and the historical use environment information into the key environmental factor determination model, determine the key environmental factors, and obtain the key environmental factors output by the key environmental factor determination model.

[0072] In S206, the historical use environment information and the load use environment information are compared for similarity based on the key environmental factors, and a plurality of historical similar days that have similar key environmental factors with the calculation day are determined.

[0073] The similarity comparison is a comparison operation for comparing the environmental similarity of the load use environment between two dates. By comparing the similarity of the historical use environment information and the load use environment information, the similarity between each historical day corresponding to the historical use environment information of the calculation day can be determined, so that the baseline determination system can determine a plurality of historical similar days that have similar key environmental factors with the calculation day from a plurality of historical days.

[0074] The historical similar day is a historical day similar to the calculation day in terms of the key environmental factor, and therefore, the historical temperature control load information of the historical similar day has reference value for determining the demand response baseline of the calculation day.

[0075] Specifically, after determining the key environmental factor that is strongly correlated with the temperature control load of the user, the baseline determination system can compare the historical use environment information and the load use environment information based on the key environmental factor, and determine a plurality of historical similar days similar to the calculation day in terms of the key environmental factor from a plurality of historical days. It can be understood that by determining a plurality of historical similar days, more data basis can be provided for subsequent determination of the demand response baseline, thereby improving the accuracy of the baseline determination.

[0076] In some embodiments, the baseline determination system is pre-provided with a similarity comparison function, and after determining the key environmental factor, the baseline determination system can extract historical factor information corresponding to the key environmental factor from the historical use environment information, and extract environmental factor information corresponding to the key environmental factor from the load use environment information, and then determine the similarity values of the calculation day and each historical day based on the historical factor information and the environmental factor information corresponding to the key environmental factor, and the pre-set similarity comparison function, and determine the historical days corresponding to the similarity values that meet the similarity condition as the historical similar days similar to the calculation day in terms of the key environmental factor.

[0077] S208, determining the demand response baseline of the user in the calculation day according to the historical temperature control load information of each historical similar day.

[0078] Specifically, after determining a plurality of historical similar days similar to the calculation day in terms of the key environmental factor, the baseline determination system can determine the demand response baseline of the user in the calculation day according to the historical temperature control load information of each historical similar day.

[0079] In some embodiments, the baseline determination system can determine the average temperature control load of each historical similar day according to the historical temperature control load information of each historical similar day, and determine the demand response baseline of the user in the calculation day based on the average temperature control load.

[0080] In the demand response baseline determination method, when determining the baseline, the key environmental factors meeting the strong correlation condition with the user's temperature control load can be determined according to the historical temperature control load information and the historical use environment information of the user, and then the similarity of the historical use environment information and the load use environment information is compared based on the key environmental factors to determine multiple historical similar days similar to the key environmental factors on the calculation day. The determination efficiency of the historical similar days can be effectively improved. The temperature control load conditions of the multiple historical similar days and the temperature control load conditions of the calculation day have higher similarity. Therefore, the demand response baseline of the user on the calculation day is determined according to the historical temperature control load information of the multiple historical similar days, which can effectively improve the determination accuracy of the power demand response baseline, and further provides a reliable basis for quantitatively evaluating the load reduction degree of the user, and effectively improves the utilization rate of social resources.

[0081] In one embodiment, the historical use environment information includes historical environment moment values of each environmental factor at each moment in each historical day, and the historical temperature control load information includes historical temperature control moment loads at each moment in each historical day. In S204, the key environmental factors meeting the strong correlation condition with the user's temperature control load are determined according to the historical temperature control load information and the historical use environment information, including:

[0082] According to the historical environment moment values of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment, the influence weight of each environmental factor on the user's temperature control load is determined. The environmental factors corresponding to the influence weights greater than the preset weight threshold are determined as the key environmental factors meeting the strong correlation condition with the user's temperature control load.

[0083] In one embodiment, the historical environment moment value is the environmental factor value of the environmental factor at the corresponding moment in the corresponding historical day, and the historical temperature control moment load is the temperature control load value of the user at the corresponding moment in the corresponding historical day. It can be understood that, in order to improve the baseline determination accuracy while reducing the calculation complexity, the designer can pre-define a uniform segmentation period number for segmenting each historical day into multiple moments, each moment having a corresponding historical environment moment value and a historical temperature control moment load.

[0084] In one embodiment, the influence weight of the environmental factor on the user's temperature control load is a weight parameter for reflecting the influence of the corresponding environmental factor on the user's temperature control load, and the influence weight is positively correlated with the influence of the corresponding environmental factor on the user's temperature control load, that is, the greater the influence weight, the greater the influence of the corresponding environmental factor on the user's temperature control load, and vice versa.

[0085] The preset weight threshold is a preset threshold parameter for determining whether an environmental factor has a strong influence on a specific load value of the user temperature control load. When the influence weight of the environmental factor on the user temperature control load is greater than the preset weight threshold, it can be determined that the environmental factor has a strong influence on the specific load value of the user temperature control load, and the user temperature control load meets the strong correlation condition. When the influence weight of the environmental factor on the user temperature control load is less than or equal to the preset weight threshold, it can be determined that the environmental factor does not have a strong influence on the specific load value of the user temperature control load, and the user temperature control load does not meet the strong correlation condition.

[0086] Specifically, the baseline determination system can determine the influence weight of each environmental factor on the user temperature control load according to the historical time value of each environmental factor at each time of each historical day and the historical temperature control time load at the corresponding time. After obtaining the influence weight, the preset weight threshold can be called, the influence weight of each environmental factor on the user temperature control load is compared with the preset weight threshold respectively, and the environmental factor corresponding to the influence weight greater than the preset weight threshold is determined as a key environmental factor meeting the strong correlation condition with the user temperature control load.

[0087] In some embodiments, the baseline determination system is pre-provided with a mapping relationship between the correlation degree and the influence weight interval, and the mapping relationship is shown in the following table:

[0088]

[0089] The baseline determination system can match the influence weight of each environmental factor and the user temperature control load with the influence weight interval, determine the correlation strength corresponding to the target influence weight interval according to the matched target influence weight interval, and thus screen out the environmental factors meeting the strong correlation condition from the environmental factors moderately correlated with the user temperature control load.

[0090] In some embodiments, the baseline determination system is pre-provided with an influence weight determination model, and the baseline determination system can input the historical environmental time value of each environmental factor at each time of each historical day and the historical temperature control time load at the corresponding time into the influence weight determination model, and thus obtain the influence weight of each environmental factor on the user temperature control load.

[0091] In some embodiments, the baseline determination system is pre-provided with an influence weight determination function, and the baseline determination system performs influence weight calculation on the historical environmental time value of each environmental factor at each time of each historical day and the historical temperature control time load at the corresponding time based on the influence weight determination function, and thus obtains the influence weight of each environmental factor on the user temperature control load.

[0092] In the above embodiments, the influence weight of the environmental factor on the user temperature control load is determined by the historical environmental moment value of each moment in the historical day and the historical temperature control moment load of the corresponding moment, and the influence weight is compared with the preset weight threshold, so as to screen the key environmental factor meeting the strong correlation condition from each environmental factor, thereby effectively improving the determination efficiency and accuracy of the key environmental factor, providing a data basis for subsequent baseline determination, and indirectly improving the efficiency and accuracy of the baseline determination.

[0093] In some embodiments, as shown in Figure 3 The influence weight of each environmental factor on the user temperature control load is determined according to the historical environmental moment value of each moment in each historical day and the historical temperature control moment load of the corresponding moment, including:

[0094] S302, for each environmental factor, the historical environmental moment standard value of the environmental factor and the first standard average value of the historical environmental moment standard value are determined according to the historical environmental moment value of the environmental factor.

[0095] The historical environmental moment standard value is a standard value obtained by standardizing the historical environmental moment value. By standardizing the historical environmental moment value, different magnitude or separate numerical characteristics can be converted into numerical values with a unified scale, so that all converted characteristic values are distributed around 0 and have a unit variance, i.e., the standard deviation is 1.

[0096] Specifically, for each environmental factor, the baseline control system can determine the historical environmental moment maximum value and the historical environmental moment minimum value of the environmental factor from the historical environmental moment values, determine the historical environmental moment standard value of the environmental factor according to the historical environmental moment maximum value, the historical environmental moment minimum value and the historical environmental moment values, and average calculate the historical environmental moment standard values to obtain the first standard average value of the historical environmental moment standard values.

[0097] In some embodiments, the baseline control system can calculate the historical environmental moment standard value according to the following formula:

[0098] ;

[0099] wherein X j,max is the maximum value of the jth environmental factor, X j,min is the minimum value of the jth environmental factor, Y ijt is the standardized environmental value of the jth environmental factor at t moment on the ith day, i.e., the standard value of the jth environmental factor at t moment on the ith day.

[0100] S304, determine the standard load of each historical temperature control time of the environmental factor and the second standard average of the standard load of each historical temperature control time according to the load of each historical temperature control time of the environmental factor.

[0101] The standard load of the historical temperature control time is a standard value after standardization processing of the load of the historical temperature control time.

[0102] Specifically, for each environmental factor, the baseline control system can determine the maximum value and the minimum value of the load of the historical temperature control time of the environmental factor from the load of each historical temperature control time, determine the standard load of each historical temperature control time of the environmental factor according to the maximum value, the minimum value and the load of each historical temperature control time, and obtain the second standard average of the standard load of each historical temperature control time by averaging calculation of the standard load of each historical temperature control time.

[0103] In some embodiments, the baseline control system can calculate the standard load of each historical temperature control time according to the following formula:

[0104] ;

[0105] wherein q it is the standard load of temperature control at t time of the i day, p it is the load of temperature control at t time of the i day, p max is the minimum value of the load of temperature control, p min is the maximum value of the load of temperature control.

[0106] S306, determine the influence weight of the environmental factor on the user's temperature control load based on the standard value of each historical environmental time, the first standard average, the standard load of each historical temperature control time and the second standard average.

[0107] Specifically, the baseline determination system can determine the influence weight of the environmental factor on the user's temperature control load based on the standard value of each historical environmental time, the first standard average, the standard load of each historical temperature control time and the second standard average of the environmental factor.

[0108] In some embodiments, the baseline determination system can calculate the influence weight of the environmental factor on the user's temperature control load according to the following formula:

[0109] ;

[0110] wherein n is the number of historical days collected, T is the total number of segmented time periods per day, is the standardized average temperature control load, i.e. the second standard average, is the average value of the environmental time of the jth environmental factor after standardization, i.e. the first standard average, r jis the influence weight of the jth environmental factor on the temperature control load.

[0111] In the above embodiment, by standardizing the historical environmental moment values and the historical temperature control moment loads, the calculation failure rate of the influence weight can be effectively reduced. Subsequently, based on the historical environmental moment standard values, the first standard average value, the historical temperature control moment standard load and the second standard average value, the influence weight of the environmental factor on the user temperature control load is determined, which can effectively improve the calculation accuracy of the influence weight and provide an accurate data basis for subsequent determination of the demand response baseline.

[0112] In some embodiments, the load use environment information includes use environment moment values of each environmental factor at each moment in the calculation day. As shown in Figure 4 S206, based on the key environmental factor, the similarity of the historical use environment information and the load use environment information is compared, and a plurality of historical similar days similar to the key environmental factor in the calculation day are determined, including:

[0113] S402, based on the use environment moment values of the key environmental factor, the use environment moment standard values of the key environmental factor in the calculation day are determined.

[0114] The use environment moment value is the environmental factor value of the key environmental factor at the corresponding moment in the calculation day.

[0115] Specifically, the baseline determination system can determine the use environment moment maximum value and the use environment moment minimum value of the key environmental factor based on the use environment moment values of the key environmental factor, and determine the use environment moment standard values of the key environmental factor in the calculation day according to the use environment moment maximum value, the use environment moment minimum value and the use environment moment values.

[0116] In some embodiments, taking the jth environmental factor as the key environmental factor, the baseline control system can calculate the use environment moment standard values of the key environmental factor in the calculation day according to the following formula:

[0117] ;

[0118] wherein y jt is the environmental value of the jth key environmental factor at t moment after standardization, i.e. the use environment moment standard value of the jth key environmental factor at t moment in the calculation day, x jt is the environmental moment value of the jth environmental factor at t moment in the calculation day.

[0119] S404, for each historical day, the similarity value of the historical day and the calculation day is determined according to the use environment moment standard values of the key environmental factor, the historical environment moment standard values in the historical day and the influence weight.

[0120] Specifically, for each historical day, the baseline determining system can determine a similarity value of the historical day and the calculation day according to the respective standard values of the key environmental factors at the usage environment moments, the respective standard values at the historical environment moments of the historical day, and the influence weights.

[0121] In some embodiments, for each historical day, the baseline determining system can calculate the similarity value of the historical day and the calculation day according to the following formula:

[0122] ;

[0123] wherein M is the number of factors of the key environmental factors, S i is the similarity value of the historical day i, it can be understood that the higher the similarity value, the higher the similarity between the historical day and the calculation day, and the lower the similarity value, the lower the similarity between the historical day and the calculation day.

[0124] S406, according to the respective similarity values of the historical days and the preset similarity threshold, screening a plurality of historical similar days that meet the similarity requirement from the historical days.

[0125] wherein the preset similarity threshold is a preset threshold parameter for judging whether the similarity between the historical day and the calculation day meets the similarity requirement. It can be understood that the preset similarity threshold can be determined by the designer according to the actual situation.

[0126] Specifically, the baseline determining system can compare the respective similarity values of the historical days with the preset similarity threshold respectively, and for each historical day, in the case that the similarity value of the historical day is greater than the preset similarity threshold, it can be determined that the historical day meets the similarity requirement. In the case that the similarity value of the historical day is less than or equal to the preset similarity threshold, it can be determined that the historical day does not meet the similarity requirement.

[0127] In the above embodiments, by calculating the respective similarity values of the historical days and the calculation day, and comparing the similarity values with the preset similarity threshold, a plurality of historical similar days that meet the similarity requirement can be quickly and accurately screened from the historical days, thereby improving the efficiency and accuracy of demand response baseline determination.

[0128] In some embodiments, as Figure 5 shown, S208, according to the historical temperature control load information of the historical similar days, determining the demand response baseline of the user in the calculation day, comprising:

[0129] S502, for each historical similar day, according to the information difference between the historical usage environment information and the load usage environment information, performing a correction operation on the historical temperature control load information.

[0130] Specifically, for each historical similar day, the baseline determination system can perform information difference comparison between the historical usage environment information and the load usage environment information of the historical similar day to determine the information difference therebetween. Since the usage environment condition has a major impact on the user's temperature control load, by comparing the usage environment conditions of the calculation day and the historical similar day, the information difference between the historical similar day and the calculation day that may affect the temperature control load can be determined. Based on the information difference, the historical temperature control load information of the historical similar day is corrected, so that the historical temperature control load information of the historical similar day is further close to the temperature control load information of the calculation day, so as to accurately determine the demand response baseline of the calculation day.

[0131] S504, calculating the reference load average value of each historical similar day based on the corrected reference load information of each historical similar day.

[0132] Specifically, after the baseline determination system performs the correction operation on the historical temperature control load information of each historical similar day, the corrected reference load information of each historical similar day can be obtained. Then, the average value of each reference load information is calculated, and the reference load average value of each historical similar day is obtained.

[0133] S506, determining the demand response baseline of the user in the calculation day according to the reference load average value.

[0134] Specifically, after the baseline determination system obtains the reference load average value, the demand response baseline of the user in the calculation day can be generated according to the reference load average value.

[0135] In the above embodiment, the baseline determination system corrects the historical temperature control load information according to the information difference between the historical usage environment information and the load usage environment information of the historical similar day, which can further correct the historical similar day to the historical same day. The reference load average value is determined based on the corrected reference load information of each historical similar day, and the demand response baseline of the calculation day is determined according to the reference load average value, which can effectively improve the determination accuracy of the demand response baseline.

[0136] In some embodiments, as shown in Figure 6 The correction operation performed on the historical temperature control load information according to the information difference between the historical usage environment information and the load usage environment information in S502 includes:

[0137] S602, for each environmental factor, determining the influence value of the environmental factor on the user's temperature control load according to the historical environment time value, the historical temperature control time load, and the number of historical similar days of the environmental factor.

[0138] The influence value of the environmental factor on the user's temperature control load is a quantitative parameter for evaluating the influence of the environmental factor on the temperature control load. It can be understood that the greater the influence value, the greater the influence of the corresponding environmental factor on the user's temperature control load, and vice versa.

[0139] Specifically, for each environmental factor, the baseline determination system can determine the influence value of the environmental factor on the user's temperature control load according to the historical environmental time values, the historical temperature control time loads, and the number of historical similar days of the environmental factor.

[0140] In some embodiments, the baseline determination system can be pre-configured with an influence value determination model, and the baseline determination system can input the historical environmental time values, the historical temperature control time loads, and the number of historical similar days of the environmental factor into the influence value determination model to obtain the influence value of the environmental factor on the user's temperature control load.

[0141] In some embodiments, the baseline determination system is pre-provided with an influence value calculation formula, and the influence value of each environmental factor on the user's temperature control load can be calculated based on the influence value calculation formula, which is as follows:

[0142] ;

[0143] wherein D is the total number of historical similar days obtained after screening, k j is the influence value of the environmental factor j on the user's temperature control load.

[0144] S604, determining the difference value of the environmental factor at each time between the historical similar days and the calculation day based on the environmental average value of the environmental factor and each use environment time value.

[0145] Specifically, while determining the influence value of the environmental factor on the user's temperature control load, the baseline determination system can determine the environmental average value of the environmental factor according to the historical environmental time values and the use environment time values of the environmental factor, and determine the difference value of the environmental factor at each time between the historical similar days and the calculation day based on the environmental average value of the environmental factor and each use environment time value.

[0146] In some embodiments, the baseline determination system is provided with a difference value determination model, and the baseline determination system can input the environmental average value and each use environment time value of the environmental factor into the difference value determination model to obtain the difference value of the environmental factor at each time between the historical similar days and the calculation day.

[0147] In some embodiments, the baseline determination system is provided with a time difference value calculation formula, and the difference value of the environmental factor at each time between the historical similar days and the calculation day can be determined based on the time difference value calculation formula. The time difference value calculation formula is as follows:

[0148] ;

[0149] wherein, is the environmental average value of the environmental factor j, x jt is the use environment value of the environmental factor j at the time t of the calculation day.

[0150] S606, according to the difference value of each time and the influence value, determine the correction value corresponding to the adjustment of each historical temperature control time load.

[0151] Specifically, after obtaining the difference value of each time and the influence value of the environmental factor, the baseline determination system can determine the correction value corresponding to the adjustment of each historical temperature control time load according to the difference value of each time and the influence value. It can be understood that the baseline determination system can determine the product of the difference value of each time and the influence value as the correction value for adjusting the corresponding historical temperature control time load.

[0152] S608, adjust each historical temperature control time load according to the correction value respectively, and obtain the reference load information of the historical similar day relative to the calculation day.

[0153] Specifically, the baseline determination system can adjust each historical temperature control time load according to the correction value corresponding to each historical temperature control time load, and obtain the reference load information of the historical similar day relative to the calculation day. It can be understood that the reference load information includes the reference temperature control time load corresponding to each time of the historical similar day.

[0154] In some embodiments, the baseline determination system can directly set a temperature control time load adjustment formula to determine the reference temperature control time load of the historical similar day relative to the calculation day through the temperature control time load adjustment formula. The temperature control time load adjustment formula is as follows:

[0155] ;

[0156] wherein, is the temperature control load of the historical similar day i at the time t after correction, that is, the reference temperature control time load of the historical similar day i relative to the calculation day at the time t.

[0157] In the above embodiments, the influence value of the environmental factor on the user temperature control load and the difference of the environmental factor at each time of the historical similar day and the calculation day are used to determine the correction value corresponding to the adjustment of each historical temperature control time load. The obtained correction value takes into account the influence degree of the environmental factor on the temperature control load and the difference of the environmental factor between the historical similar day and the calculation day, which improves the accuracy of the correction value. Subsequently, adjusting the historical temperature control time load according to the correction value can obtain reference load information with more accurate prediction for the calculation day.

[0158] Further, in some embodiments, as shown in S608, the historical similar day reference load information relative to the calculation day is obtained by adjusting the historical temperature control time load according to the respective correction value, including: Figure 7 S702, the initial adjustment of the historical temperature control time load according to the respective correction value is obtained, and the initial reference load information of the historical similar day relative to the calculation day is obtained.

[0159] Specifically, the baseline determination system adjusts the historical temperature control time load according to the respective correction value to obtain the initial reference load information of the historical similar day relative to the calculation day, wherein the initial reference load information includes the initial reference temperature control time load corresponding to each time of the historical day.

[0160] S704, the temperature control device capacity of the calculation day and the historical temperature control device capacity of the historical similar day are obtained.

[0161] Wherein, the temperature control device capacity is the temperature control device installed capacity of the user on the calculation day, and the historical temperature control device capacity is the temperature control device installed capacity of the user on the historical similar day. It can be understood that in addition to the environmental factors that will affect the user temperature control load, the change of the temperature control device capacity will also affect the change of the user temperature control load.

[0162] Specifically, considering the possibility of change of the user temperature control device installed capacity, the baseline determination system can obtain the temperature control device capacity of the calculation day and the historical temperature control device capacity of the historical similar day.

[0163] S706, based on the capacity ratio of the temperature control device capacity and the historical temperature control device capacity, the initial reference load information is modified again to obtain the reference load information of the historical similar day relative to the calculation day.

[0164] Specifically, after obtaining the temperature control device capacity of the calculation day and the historical temperature control device capacity of the historical similar day, the baseline determination system can calculate the capacity ratio of the temperature control device capacity and the historical temperature control device capacity, and modify the initial reference load information based on the capacity ratio to obtain the reference load information of the historical similar day relative to the calculation day.

[0165] In some embodiments, the baseline determination system can determine the product of the capacity ratio and each initial reference temperature control time load in the initial reference load information as the reference temperature control time load corresponding to each time of the historical similar day to obtain the reference load information of the historical similar day relative to the calculation day.

[0166]

[0167] ​In the above embodiment, the initial reference load information is secondarily corrected by the capacity ratio of the capacity of the temperature control device and the historical capacity of the temperature control device, so that the reference load information obtained finally can fully consider the influence caused by the capacity change of the temperature control device of the user, the accuracy of the reference load information is improved, and the accuracy of the demand response baseline determination is further improved.

[0168] In some embodiments, as shown in FIG. 1, a demand response baseline determination method is provided, and the method specifically comprises the following steps: Figure 8

[0169] S801, collecting air conditioner load data and environmental data of each time period of the user.

[0170] Specifically, the baseline determination system can collect the air conditioner load of each time period of the user, and the temperature, humidity, solar radiation, personnel heat production and the like.

[0171] S802, performing outlier screening and removing the outliers on the air conditioner load data and the environmental data, and updating the air conditioner load data and the environmental data.

[0172] Specifically, the baseline determination system can screen the collected air conditioner load data and environmental data by the Laplace criterion, remove the outliers therefrom, and update the air conditioner load data and the environmental data.

[0173] The formula for screening by the Laplace criterion is as follows:

[0174]

[0175]

[0176]

[0177] ;

[0178] wherein n is the number of historical dates collected, is the environmental value of the jth environmental factor at t moment of the ith day, is the standard deviation of the jth environmental factor at t moment, is the average value of the jth environmental factor at t moment, is the difference value of the jth environmental factor at t moment of the ith day, and when the data is regarded as abnormal data. is the air conditioner load at t moment of the ith day, is the standard deviation of the air conditioner load at t moment, is the average value of the air conditioner load at t moment, is the difference value of the air conditioner load at t moment of the ith day, and when ​At this time, the data is considered as abnormal data.

[0179] S803, according to the environmental data and the air conditioning load data, the weight of each environmental factor on the air conditioning load is calculated.

[0180] Specifically, the baseline determination system can use the Pearson correlation coefficient method to calculate the weight of each environmental factor, such as temperature, humidity, solar radiation, and personnel heat production, on the air conditioning load, and the formula is as follows:

[0181]

[0182]

[0183] ;

[0184] Wherein, X j,max is the maximum value of the jth environmental factor, X j,min is the minimum value of the jth environmental factor, Y ijt is the normalized environmental time value of the jth environmental factor at t time on the ith day, i.e. the standard value of the jth environmental factor at t time on the ith day, is the normalized environmental time average value of the jth environmental factor, rj is the weight of the jth environmental factor on the temperature control load, which can represent the correlation degree of the jth environmental factor and the air conditioning load. T is the total number of division time periods per day, p max is the minimum value of the air conditioning load, p min is the maximum value of the air conditioning load, q it is the temperature control standard load at t time on the ith day, is the normalized average air conditioning load.

[0185] S804, the weight of each environmental factor on the air conditioning load is screened according to the correlation degree, and the key environmental factors with strong correlation with the load are screened out.

[0186] Specifically, the baseline determination system screens the weight of the air conditioning load according to the correlation degree, and generally has the following relationship:

[0187] ;

[0188] According to the above mapping relationship, the baseline determination system can screen out the key environmental factors with moderate correlation and above with the air conditioning load from the environmental factors.

[0189] S805, according to the weight of each key environmental factor on the air conditioning load, the similarity of the key environmental factors of the historical days is compared, and several historical similar days are screened out.

[0190] Specifically, the baseline determination system can obtain the similarity degree of the historical day and the calculation day according to the following formula:

[0191]

[0192] ;

[0193] wherein M is the number of key environmental factors obtained after screening, S i is the comprehensive evaluation of the historical day i, that is, the similarity value of the historical day i, and the lower the evaluation score, the more similar the historical day and the calculation day are. jt is the standardized environmental value of the jth key environmental factor of the calculation day at time t, that is, the standard value of the jth key environmental factor at the use environment time of the calculation day t, x jt is the environmental time value of the jth environmental factor of the calculation day at time t.

[0194] S806, according to the difference between the environmental data of the historical similar day and the environmental data of the calculation day, the load data of the historical similar day is adjusted to obtain the reference load of demand response.

[0195] Specifically, after the baseline determination system obtains a plurality of historical similar days, it also needs to further adjust the load data according to the differences of the refined environmental factors. The baseline determination system can calculate the influence of each environmental factor on the air conditioner load according to the following formula, and then adjust the historical load data to obtain the reference load of demand response:

[0196]

[0197] ;

[0198] wherein D is the total number of historical similar days obtained after screening, k j is the influence value of the environmental factor j on the air conditioner load, is the air conditioner load of the historical similar day i at time t after correction, is the environmental average value of the environmental factor j.

[0199] Considering the change of user capacity, the baseline determination system can further adjust the load data of the historical similar day according to the capacity proportion, and the formula is as follows:

[0200] ;

[0201] wherein, is the air conditioner load of the historical similar day i at time t after further correction, S is the air conditioner installed capacity of the user in the calculation day, S i is the air conditioner installed capacity of the user in the historical similar day i.

[0202] S807, determining the demand response baseline of the power demand response according to the obtained reference load average value.

[0203] Specifically, the baseline determining system can average the corrected historical similar day air conditioner load to obtain a reference load average value, and determine the demand response baseline of the power demand response based on the obtained reference load average value:

[0204]

[0205] wherein, is the demand response baseline of the power demand response of the user on the calculation day.

[0206] The demand response baseline determining method in the above embodiments fully considers the influence of environmental factors on the temperature control load through analysis of the historical similar days of the user environment, and accurately determines the baseline of the power demand response. Secondly, it can help the user to calculate the demand response baseline of the user, and provide a basis for whether the user participates in the power demand response and the amount of participation in the demand response.

[0207] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other sequences. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0208] Based on the same inventive concept, the embodiments of the present application also provide a demand response baseline determining device for implementing the demand response baseline determining method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more demand response baseline determining device embodiments provided below can refer to the limitations of the demand response baseline determining method in the above text, which will not be repeated here.

[0209] In one embodiment, as shown in Figure 9 a demand response baseline determining device 900 is provided, comprising: an information acquisition module 901, a key environmental factor determining module 902, a similar day determining module 903, and a baseline determining module 904, wherein:

[0210] ​The information obtaining module 901 is configured to obtain historical temperature control load information, historical use environment information, and load use environment information on a calculation day of a user.

[0211] The key environmental factor determining module 902 is configured to determine, according to the historical temperature control load information and the historical use environment information, a key environmental factor that meets a strong correlation condition with the temperature control load of the user.

[0212] The similar day determining module 903 is configured to compare the historical use environment information and the load use environment information based on the key environmental factor, and determine a plurality of historical similar days that have a similar key environmental factor as the calculation day.

[0213] The baseline determining module 904 is configured to determine, according to the historical temperature control load information of each historical similar day, a demand response baseline of the user on the calculation day.

[0214] In some embodiments, the historical use environment information includes historical environment moment values of each environmental factor at each moment of each historical day, and the historical temperature control load information includes historical temperature control moment loads at each moment of each historical day. The key environmental factor determining module 902 is configured to determine, according to the historical environment moment values of each environmental factor at each moment of each historical day and the historical temperature control moment loads at the corresponding moments, an influence weight of each environmental factor on the temperature control load of the user, and determine, as the key environmental factor that meets the strong correlation condition with the temperature control load of the user, an environmental factor corresponding to an influence weight greater than a preset weight threshold.

[0215] In some embodiments, the key environmental factor determining module 902 is configured to, for each environmental factor, determine, according to the historical environment moment values of the environmental factor, historical environment moment standard values of the environmental factor and a first standard average of the historical environment moment standard values, determine, according to the historical temperature control moment loads of the environmental factor, historical temperature control moment standard loads of the environmental factor and a second standard average of the historical temperature control moment standard loads, and determine, based on the historical environment moment standard values, the first standard average, the historical temperature control moment standard loads and the second standard average, the influence weight of the environmental factor on the temperature control load of the user.

[0216] In some embodiments, the load use environment information includes use environment moment values of each environmental factor at each moment of the calculation day. The similar day determining module 903 is configured to determine, based on the use environment moment values of the key environmental factor, use environment moment standard values of the key environmental factor on the calculation day, for each historical day, determine, according to the use environment moment standard values of the key environmental factor, the historical environment moment standard values on the historical day and the influence weight, a similarity value of the historical day and the calculation day, and select, according to the respective similarity values of each historical day and a preset similarity threshold, a plurality of historical similar days that meet a similarity requirement from the historical days.

[0217] In some embodiments, the baseline determining module 904 is configured to: for each historical similar day, perform a correction operation on the historical temperature control load information according to the information difference between the historical use environment information and the load use environment information; calculate the reference load average value of each historical similar day based on the corrected reference load information of each historical similar day; and determine the demand response baseline of the user on the calculation day according to the reference load average value.

[0218] In some embodiments, the baseline determining module 904 is configured to: for each environmental factor, determine the influence value of the environmental factor on the temperature control load of the user according to the historical environmental time value, the historical temperature control time load, and the number of historical similar days of the environmental factor; determine the time difference value of the environmental factor at each time between the historical similar day and the calculation day based on the environmental average value of the environmental factor and each use environment time value; determine the correction value for corresponding adjustment of each historical temperature control time load according to the time difference value and the influence value; and adjust each historical temperature control time load according to the correction value to obtain the reference load information of the historical similar day relative to the calculation day.

[0219] In some embodiments, the baseline determining module 904 is configured to: adjust each historical temperature control time load according to the correction value to obtain the initial reference load information of the historical similar day relative to the calculation day; obtain the temperature control equipment capacity of the calculation day and the temperature control equipment historical capacity of the historical similar day; and perform secondary correction on the initial reference load information based on the capacity ratio of the temperature control equipment capacity and the temperature control equipment historical capacity to obtain the reference load information of the historical similar day relative to the calculation day.

[0220] Each module in the above demand response baseline device can be realized by software, hardware, and a combination thereof in whole or in part. Each module can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operation corresponding to each module.

[0221] In one embodiment, a computer device is provided, which can be a server or a terminal integrated with the baseline determining system, and the internal structure diagram thereof can be as shown in Figure 10As shown in the figure. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store historical temperature control load information, historical use environment information, load use environment information, key environmental factors, historical similar days and demand response baselines and other data. The network interface of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement a demand response baseline method.

[0222] Those skilled in the art can understand that, Figure 10 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different component arrangement.

[0223] In one embodiment, a computer device is provided, including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the specific steps of the demand response baseline determination method embodiments described above.

[0224] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by the processor to implement the specific steps of the demand response baseline determination method embodiments described above.

[0225] In one embodiment, a computer program product is provided, including a computer program, and the computer program is executed by the processor to implement the specific steps of the demand response baseline determination method embodiments described above.

[0226] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties. And the acquisition, storage, processing, transmission, etc. of data comply with the relevant provisions of laws and regulations.

[0227] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0228] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0229] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A demand response baseline determination method characterized by, The method comprises: obtaining historical temperature control load information, historical use environment information and load use environment information of a user on a calculation day; the load use environment information comprises use environment moment values of each environment factor at each moment on the calculation day; the historical use environment information comprises historical environment moment values of each environment factor at each moment on each historical day; and the historical temperature control load information comprises historical temperature control moment loads of each environment factor at each moment on each historical day; for each environment factor, determining historical environment moment standard values of the environment factor according to the historical environment moment values of the environment factor, and a first standard average value of each historical environment moment standard value; determining historical temperature control moment standard loads of the environment factor according to the historical temperature control moment loads of the environment factor, and a second standard average value of each historical temperature control moment standard load; determining an influence weight of the environment factor on the user's temperature control load based on each historical environment moment standard value, the first standard average value, each historical temperature control moment standard load and the second standard average value; determining an environment factor corresponding to an influence weight greater than a preset weight threshold as a key environment factor satisfying a strong correlation condition with the user's temperature control load; based on the key environment factor, performing similarity comparison on the historical use environment information and the load use environment information to determine a plurality of historical similar days similar to the calculation day in terms of the key environment factor; for each environment factor, determining an influence value of the environment factor on the user's temperature control load according to the historical environment moment values of the environment factor, the historical temperature control moment loads and the number of historical similar days; determining a moment difference value of the environment factor at each moment between the historical similar days and the calculation day based on an environmental average value of the environment factor and each use environment moment value; determining a correction value corresponding to an adjustment of each historical temperature control moment load according to each moment difference value and the influence value; initially adjusting each historical temperature control moment load according to the correction value to obtain initial reference load information of the historical similar days relative to the calculation day; obtaining a temperature control device capacity of the calculation day and a temperature control device historical capacity of the historical similar days; based on a capacity ratio of the temperature control device capacity and the temperature control device historical capacity, secondarily correcting the initial reference load information to obtain reference load information of the historical similar days relative to the calculation day; calculating a reference load average value of each historical similar day based on the corrected reference load information of each historical similar day; determining a demand response baseline of the user on the calculation day according to the reference load average value.

2. The method of claim 1, wherein the similarity comparison of the historical use environment information and the load use environment information based on the key environment factor to determine a plurality of historical similar days similar to the calculation day in terms of the key environment factor comprises: ​ determine, based on the use environment time value of the key environmental factor, a use environment time standard value of the key environmental factor on the calculation day; for each of the historical days, determine a similarity value of the historical day and the calculation day according to the use environment time standard value of the key environmental factor, the historical environment time standard value on the historical day, and the influence weight; select, according to the similarity value of each of the historical days and a preset similarity threshold, a plurality of historical similar days that meet a similarity requirement from the historical days.

3. The method of claim 2, wherein, The method further comprises: determine, based on the use environment time value of the key environmental factor, a use environment time maximum value and a use environment time minimum value of the key environmental factor; determine, according to the use environment time maximum value, the use environment time minimum value, and the use environment time value, the use environment time standard value of the key environmental factor on the calculation day.

4. The method of claim 1, wherein, The method further comprises: determine, from the historical environment time value, a historical environment time maximum value and a historical environment time minimum value of the environmental factor; determine, according to the historical environment time maximum value, the historical environment time minimum value, and the historical environment time value, a historical environment time standard value of the environmental factor; perform average calculation on the historical environment time standard value to obtain a first standard average value of the historical environment time standard value.

5. The method of claim 1, wherein, The method further comprises: determine, from the historical temperature control time load, a historical temperature control time load maximum value and a historical temperature control time load minimum value of the environmental factor; determine, according to the historical temperature control time load maximum value, the historical temperature control time load minimum value, and the historical temperature control time load, a historical temperature control time standard load of the environmental factor; perform average calculation on the historical temperature control time standard load to obtain a second standard average value of the historical temperature control time standard load.

6. The method of claim 1, wherein, The method further comprises: for each of the environmental factors, input the historical environment time value, the historical temperature control time load, and the number of historical similar days into a pre-configured influence value determination model to obtain the influence value of the environmental factor on the user temperature control load.

7. A demand response baseline device characterized by, The device comprises: an information acquisition module configured to acquire historical temperature control load information, historical use environment information, and load use environment information on a calculation day of a user; the load use environment information comprises use environment time values of each environmental factor at each time on the calculation day; the historical use environment information comprises historical environment time values of each environmental factor at each time on each historical day; and the historical temperature control load information comprises historical temperature control time loads at each time on each of the historical days. The key environmental factor determination module is configured to determine, for each of the environmental factors, a historical environmental time point standard value of the environmental factor according to each historical environmental time point value of the environmental factor, and a first standard average value of each of the historical environmental time point standard values; determine a historical temperature control time point standard load of the environmental factor according to each historical temperature control time point load of the environmental factor, and a second standard average value of each of the historical temperature control time point standard loads; determine an influence weight of the environmental factor on the user temperature control load based on each of the historical environmental time point standard values, the first standard average value, each of the historical temperature control time point standard loads and the second standard average value; and determine the environmental factor corresponding to the influence weight greater than a preset weight threshold as a key environmental factor satisfying a strong correlation condition with the user temperature control load. The similar day determination module is configured to compare the historical use environment information and the load use environment information based on the key environmental factors, and determine a plurality of historical similar days similar to the key environmental factors of the calculation day. The baseline determination module is configured to determine, for each of the environmental factors, an influence value of the environmental factor on the user temperature control load according to each of the historical environmental time point values, each of the historical temperature control time point loads and a number of historical similar days of the environmental factor; determine a time point difference value of the environmental factor between the historical similar days and the calculation day based on an environmental average value of the environmental factor and each of the use environment time point values; determine a correction value corresponding to an adjustment of each of the historical temperature control time point loads according to each of the time point difference values and the influence value; perform initial adjustment on each of the historical temperature control time point loads according to the correction value to obtain initial reference load information of the historical similar days relative to the calculation day; obtain a temperature control device capacity of the calculation day and temperature control device historical capacities of the historical similar days; perform secondary correction on the initial reference load information based on a capacity ratio of the temperature control device capacity and the temperature control device historical capacities to obtain reference load information of the historical similar days relative to the calculation day; calculate a reference load average value of each of the historical similar days based on the corrected reference load information of each of the historical similar days; and determine a demand response baseline of the user in the calculation day according to the reference load average value.

8. The apparatus of claim 7, wherein, The similar day determination module is configured to determine each use environment time point standard value of the key environmental factors in the calculation day based on each use environment time point value of the key environmental factors; determine a similarity value of each of the historical days relative to the calculation day according to each of the use environment time point standard values of the key environmental factors, each of the historical environment time point standard values in the historical day and the influence weight; and select a plurality of historical similar days satisfying a similarity requirement from each of the historical days according to the similarity value of each of the historical days and a preset similarity threshold. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor executes the computer program to implement the steps of the method in any one of claims 1 to 6.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, which is executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

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