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

Abstract

The invention relates to a demand response baseline determination method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring historical temperature control load information and historical use environment information of a user, and load use environment information on a calculation day; according to the historical temperature control load information and the historical use environment information, key environment factors meeting strong correlation conditions with the user temperature control load are determined; performing similarity comparison on the historical use environment information and the load use environment information based on the key environment factors, and determining a plurality of historical similar days with key environment factors similar to the calculation day; and according to the historical temperature control load information of each historical similar day, determining a demand response baseline of the user on the calculation day. By adopting the method, the demand response baseline determination accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the field of power system control technology, and in particular to a method, apparatus, computer equipment, storage medium and computer program product for determining a demand response baseline. Background Art

[0002] Electricity demand response is a method to ensure the stable operation of the power system when the power system is under load. It means that when the power supply is tight (or excessive) or there is a period of power shortage (or surplus), the grid units, such as power companies or enterprises, invite users with load regulation capabilities to actively reduce (or increase) the power load during a specific period agreed upon by the grid and the users according to the supply and demand situation, so as to meet the power supply and consumption needs of the power system for peak shaving or valley filling.

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

[0004] In the prior art, the demand response baseline for most provinces is selected by taking the average of the load curves of the previous n days, ignoring the actual load level and actual environmental factors. In particular, there is a problem of low accuracy in the calculation of temperature control loads that are greatly affected by the environment. Summary of the invention

[0005] Based on this, it is necessary to provide a demand response baseline determination method, apparatus, computer equipment, computer-readable storage medium and computer program product that can improve the accuracy of demand response baseline determination in response to the above technical problems.

[0006] In a first aspect, the present application provides a method for determining a demand response baseline, the method comprising:

[0007] Obtain the user's historical temperature control load information, historical usage environment information, and load usage environment information on the calculation day;

[0008] Determine, based on the historical temperature control load information and the historical usage environment information, key environmental factors that meet a strong correlation condition with the user's temperature control load;

[0009] Based on the key environmental factors, the historical usage environment information and the load usage environment information are compared for similarity, and a plurality of historical similar days having key environmental factors similar to the calculation day are determined;

[0010] According to the historical temperature control load information of each of the historical similar days, a demand response baseline of the user on the calculation day is determined.

[0011] In one embodiment, the historical use environment information includes the historical environment moment value of each environmental factor at each moment in each historical day; the historical temperature control load information includes the historical temperature control moment load at each moment in each historical day;

[0012] The determining, based on the historical temperature control load information and the historical usage environment information, key environmental factors that meet a strong correlation condition with the user's temperature control load includes:

[0013] Determine the influence weight of each environmental factor on the user's temperature control load according to the historical environmental moment value of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment;

[0014] The environmental factors corresponding to the influence weights greater than the preset weight threshold are determined as the key environmental factors that meet the strong correlation condition with the user's temperature control load.

[0015] In one embodiment, determining the influence weight of each environmental factor on the user temperature control load according to the historical environmental moment value of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment includes:

[0016] For each of the environmental factors, according to the historical environmental moment values ​​of the environmental factor, determine the historical environmental moment standard values ​​of the environmental factor and the first standard average value of the historical environmental moment standard values;

[0017] Determine, according to the loads at each historical temperature control moment of the environmental factor, the standard loads at each historical temperature control moment of the environmental factor, and a second standard average value of the standard loads at each historical temperature control moment;

[0018] Based on the standard values ​​of each historical environmental moment, the first standard average value, the standard load of each historical temperature control moment and the second standard average value, the influence weight of the environmental factor on the user's temperature control load is determined.

[0019] In one of the embodiments, the load usage environment information includes the usage environment moment value of each environmental factor at each moment in the calculation day;

[0020] The performing similarity comparison between the historical usage environment information and the load usage environment information based on the key environment factors to determine a plurality of historical similar days having key environment factors similar to the calculation day includes:

[0021] Determine the standard value of the key environmental factor at each usage environment time on the calculation day based on the usage environment time value of the key environmental factor;

[0022] For each of the historical days, determine the similarity value between the historical day and the calculation day according to the standard values ​​of the use environment time of the key environmental factors, the standard values ​​of the historical environment time on the historical day, and the impact weight;

[0023] According to the similarity values ​​of the respective historical days and a preset similarity threshold, a plurality of historical similar days that meet the similarity requirements are screened out from the historical days.

[0024] In one embodiment, determining the user's demand response baseline on the calculation day based on the historical temperature control load information of each of the historical similar days includes:

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

[0026] Calculate the average value of the reference load for each of the similar historical days based on the corrected reference load information for each of the similar historical days;

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

[0028] In one embodiment, performing a correction operation on the historical temperature control load information according to the information difference between the historical usage environment information and the load usage environment information includes:

[0029] For each of the environmental factors, determine the impact value of the environmental factor on the user's temperature control load according to the historical environmental time values ​​of the environmental factor, the historical temperature control time loads, and the number of historical similar days;

[0030] Based on the environmental average value of the environmental factor and each of the usage environment time values, determining the difference value of the environmental factor at each time between the historical similar day and the calculation day;

[0031] Determine, according to the difference value at each moment and the impact value, a correction value for correspondingly adjusting the load at each historical temperature control moment;

[0032] The load at each of the historical temperature control moments is adjusted according to each of the correction values ​​to obtain reference load information of the historical similar day relative to the calculation day.

[0033] In one embodiment, the load at each of the historical temperature control moments is adjusted according to each of the correction values ​​to obtain the reference load information of the historical similar day relative to the calculation day, including:

[0034] Performing initial adjustments to the loads at each of the historical temperature control moments according to the correction values, to obtain initial reference load information of the historical similar day relative to the calculation day;

[0035] Obtaining the capacity of the temperature control device on the calculation day and the historical capacity of the temperature control device on the historically similar day;

[0036] Based on the capacity of the temperature control device and the capacity ratio of the historical capacity of the temperature control device, the initial reference load information is corrected twice to obtain the reference load information of the historical similar day relative to the calculation day.

[0037] In a second aspect, the present application also provides a demand response baseline device, the device comprising:

[0038] The information acquisition module is used to obtain the user's historical temperature control load information, historical usage environment information, and load usage environment information on the calculation day;

[0039] A key environmental factor determination module, used to determine key environmental factors that meet a strong correlation condition with the user's temperature control load based on the historical temperature control load information and the historical use environment information;

[0040] A similar day determination module is used to compare the historical use environment information with the load use environment information based on the key environmental factors, and determine a plurality of historical similar days with similar key environmental factors to the calculation day;

[0041] The baseline determination module is used to determine the user's demand response baseline on the calculation day based on 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, including a memory and a processor, wherein 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 having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0044] The above-mentioned demand response baseline determination method, device, computer equipment, storage medium and computer program product can first determine the key environmental factors that meet the strong correlation conditions with the user's temperature control load based on the user's historical temperature control load information and historical usage environment information when determining the baseline, and then compare the historical usage environment information with the load usage environment information based on the key environmental factors to determine the similarity of multiple historical similar days with similar key environmental factors as the calculation day, which can effectively improve the efficiency of determining historical similar days. The temperature control load conditions of multiple historical similar days have a higher similarity with the temperature control load conditions of the calculation day. Therefore, determining the user's demand response baseline on the calculation day based on the historical temperature control 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 user's load reduction degree, and effectively improving the utilization rate of social resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 A diagram of an application environment of a method for determining a demand response baseline in an embodiment;

[0046] Figure 2 A flowchart of a method for determining a demand response baseline in one embodiment is shown;

[0047] Figure 3 It is a flowchart of determining the influence weight of each environmental factor on the user's temperature control load according to the historical environmental moment value of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment in an embodiment;

[0048] Figure 4 A flow chart of performing a similarity comparison between historical usage environment information and load usage environment information based on key environmental factors in one embodiment to determine multiple historical similar days having key environmental factors similar to the calculation day;

[0049] Figure 5 A schematic diagram of a process for determining a user's demand response baseline on a calculation day according to historical temperature control load information on each historical similar day in an embodiment;

[0050] Figure 6 A schematic diagram of a flow chart of performing a correction operation on historical temperature control load information according to the information difference between historical usage environment information and load usage environment information in one embodiment;

[0051] Figure 7 A schematic diagram of a flow chart of adjusting the load at each historical temperature control moment according to each correction value to obtain reference load information of a historical similar day relative to a calculation day in an embodiment;

[0052] Figure 8A flowchart of a method for determining a demand response baseline in another embodiment;

[0053] Fig. 9 It is a structural block diagram of a demand response baseline determination device in one embodiment;

[0054] Fig.10 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0056] The demand response baseline determination method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the baseline determination system 102 communicates with the server 104 through the network. The data storage system can store the data that the baseline determination system 102 needs to process. The data storage system can be integrated on the baseline determination system 102, or it can be placed on the cloud or other network servers. The baseline determination system 102 can obtain the user's historical temperature control load information, historical usage environment information, and load usage environment information on the calculation day from the server 104, and determine the key environmental factors that meet the strong correlation conditions with the user's temperature control load based on the historical temperature control load information and the historical usage environment information. Based on the key environmental factors, the historical usage environment information and the load usage environment information are compared for similarity, and multiple historical similar days with similar key environmental factors as the calculation day are determined, and the user's demand response baseline on the calculation day is determined based on the historical temperature control load information of each historical similar day.

[0057] The baseline assurance system 102 may be integrated in a terminal or a server, and the terminal may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc. The server, like the server 104 , may be implemented as an independent server or a server cluster consisting of multiple servers.

[0058] In one embodiment, Figure 2 As shown in the figure, a demand response baseline method is provided, which is applied to Figure 1 The baseline determination system 102 in FIG. 1 is taken as an example to illustrate, and includes the following steps:

[0059] S202, obtaining the user's historical temperature control load information, historical usage environment information, and load usage environment information on the calculation day.

[0060] The historical temperature control load information is information data used to reflect the temperature control load conditions of users in historical time periods, and can be obtained by collecting and recording the temperature control loads of users in historical time periods.

[0061] The historical period is a historical time period for determining historical similar days for the calculation day. The historical similar days for the calculation day will be screened from the historical days included in the historical period. It can be understood that the historical period can be actually determined by the designer according to the accuracy requirements of the baseline determination. For example, when the accuracy requirements for baseline determination are high, the historical period can be 1 year, 2 years or 3 years, etc., and when the accuracy requirements for baseline determination are low, the historical period can be 1 month, 2 months or 3 months, etc.

[0062] Similarly, the historical usage environment information is information data used to reflect the environmental conditions of the usage environment of the temperature control device in the historical time period. It can be obtained by performing environmental information detection on the usage environment of the temperature control device in the historical period through the corresponding environmental information detection component.

[0063] It is understandable that the historical use environment information may include the environmental factor values ​​of multiple environmental factors in the historical time period, wherein the environmental factors may include but are not limited to temperature, humidity, solar radiation, human heat generation, etc.

[0064] The calculation day can be considered as the date on which the user's demand response baseline needs to be determined, for example, the calculation day can be the current day. The load usage environment information of the calculation day is information data used to reflect the environmental conditions of the environment in which the temperature control device is located during the calculation day.

[0065] It is understandable that the types of information specifically included in the load usage environment information are basically the same as the types of information specifically included in the historical usage environment information. For example, the load usage environment information can also include the environmental factor values ​​of multiple environmental factors on the calculation day, and the environmental factors can include but are not limited to temperature, humidity, solar radiation, human heat generation, etc.

[0066] Specifically, when it is necessary to determine the user's demand response baseline on the calculation day, the baseline determination system can obtain the user's historical temperature control load information, historical usage environment information, and load usage environment information on the calculation day from the server.

[0067] In some of the embodiments, the baseline determination system can perform data preprocessing on the acquired historical temperature control load information, historical usage environment information, and load usage environment information according to a preset preprocessing method, filter out and eliminate abnormal data from each information data, and obtain updated historical temperature control load information, historical usage environment information, and load usage environment information. When performing subsequent baseline determination, the updated historical temperature control load information, historical usage environment information, and load usage environment information will be used.

[0068] S204: Determine key environmental factors that are strongly correlated with the user's temperature control load based on historical temperature control load information and historical usage environment information.

[0069] Among them, the strong correlation condition is a judgment condition used to determine whether environmental factors will have a strong impact on the specific load value of the user's temperature control load. The key environmental factors are environmental factors that meet the strong correlation conditions with the user's temperature control load among various environmental factors. Changes in key environmental factors will have a greater impact on the user's temperature control load.

[0070] Specifically, the baseline determination system can determine the key environmental factors that meet the strong correlation condition with the user's temperature control load from various environmental factors based on the acquired historical temperature control load information and historical usage environment information. It can be understood that the specific number of key environmental factors can be determined based on the actual situation of the temperature control device usage environment, and the key environmental factors can be single or multiple.

[0071] In some of the embodiments, the baseline determination system may be pre-configured with a key environmental factor determination model trained according to strong correlation conditions. After obtaining historical temperature control load information and historical usage environment information, the baseline determination system may directly input the historical temperature control load information and historical usage environment information into the key environmental factor determination model to determine the key environmental factors and obtain the key environmental factors output by the key environmental factor determination model.

[0072] S206, performing a similarity comparison between the historical usage environment information and the load usage environment information based on the key environmental factors, and determining a plurality of historical similar days having key environmental factors similar to the calculation day.

[0073] Among them, similarity comparison is a comparison operation used to compare the environmental similarities of the load usage environment between two dates. By performing a similarity comparison between the historical usage environment information and the load usage environment information, the similarity between the historical days corresponding to the calculated Japanese historical usage environment information can be determined, so that the baseline determination system can determine multiple historical similar days with similar key environmental factors to the calculation day from many historical days.

[0074] Among them, historical similar days are historical days among many historical days that have similar key environmental factors to the calculation day. Therefore, the historical temperature control load information of historical similar days has reference value for determining the demand response baseline of the calculation day.

[0075] Specifically, after determining the key environmental factors that meet the strong correlation conditions with the user's temperature control load, the baseline determination system can compare the historical usage environment information with the load usage environment information based on the key environmental factors, and determine multiple historical similar days with key environmental factors similar to the calculation day from multiple historical days. It can be understood that by determining multiple historical similar days, more data basis can be provided for the determination of subsequent demand response baselines, thereby improving the accuracy of baseline determination.

[0076] In some of the embodiments, a similarity comparison function is pre-set in the baseline determination system. After determining the key environmental factors, the baseline determination system can extract historical factor information corresponding to the key environmental factors from the historical usage environment information based on the key environmental factors, and extract environmental factor information corresponding to the key environmental factors from the load usage environment information. Then, based on the historical factor information and environmental factor information corresponding to the key environmental factors, and the preset similarity comparison function, determine the similarity value between the calculation date and each historical day, and based on the similarity value, determine the historical day corresponding to the similarity value that meets the similarity condition as a historical similar day with similar key environmental factors as the calculation date.

[0077] S208: Determine the user's demand response baseline on the calculation day based on the historical temperature control load information of each similar historical day.

[0078] Specifically, after determining multiple historical similar days with similar key environmental factors as the calculation day, the baseline determination system can make a temperature control load reference based on the historical temperature control load information of each historical similar day to determine the user's demand response baseline on the calculation day.

[0079] In some of the embodiments, the baseline determination system may determine the average temperature control load of each historically similar day based on the historical temperature control load information of each historically similar day, and determine the user's demand response baseline on the calculation day based on the average temperature control load.

[0080] In the above-mentioned demand response baseline determination method, when determining the baseline, the key environmental factors that meet the strong correlation conditions with the user's temperature control load can be first determined based on the user's historical temperature control load information and historical usage environment information, and then the historical usage environment information and the load usage environment information are compared for similarity based on the key environmental factors to determine multiple historical similar days with similar key environmental factors as the calculation day. This can effectively improve the efficiency of determining historical similar days, and the temperature control load conditions of multiple historical similar days are more similar to the temperature control load conditions of the calculation day. Therefore, determining the user's demand response baseline on the calculation day based on the historical temperature control 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 user's load reduction degree and effectively improving the utilization rate of social resources.

[0081] In one embodiment, the historical usage environment information includes the historical environment moment values ​​of each environmental factor at each moment in each historical day, and the historical temperature control load information includes the historical temperature control moment load at each moment in each historical day. S204, based on the historical temperature control load information and the historical usage environment information, determine the key environmental factors that meet the strong correlation condition with the user's temperature control load, including:

[0082] The influence weight of each environmental factor on the user's temperature control load is determined based on the historical environmental moment value of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment. The environmental factor corresponding to the influence weight greater than the preset weight threshold is determined as the key environmental factor that meets the strong correlation condition with the user's temperature control load.

[0083] Among them, the historical environmental moment value is the environmental factor value 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 accuracy of baseline determination and reduce the calculation complexity, the designer can pre-segment each historical day according to a unified number of segmentation periods to obtain multiple moments, each of which has a corresponding historical environmental moment value and historical temperature control moment load.

[0084] Among them, the impact weight of environmental factors on the user's temperature control load is a weight parameter used to reflect the impact of the corresponding environmental factors on the user's temperature control load. The impact weight is positively correlated with the impact of the environmental factors on the user's temperature control load. That is, the greater the impact weight, the greater the impact of the corresponding environmental factors on the user's temperature control load. Conversely, the smaller the impact weight, the smaller the impact of the corresponding environmental factors on the user's temperature control load.

[0085] The preset weight threshold is a preset threshold parameter used to determine whether environmental factors will have a strong impact on the specific load value of the user's temperature control load. When the weight of the environmental factor's impact on the user's temperature control load is greater than the preset weight threshold, it can be determined that the environmental factor will have a strong impact on the specific load value of the user's temperature control load and that the user's temperature control load meets the strong correlation condition. When the weight of the environmental factor's impact on the user's temperature control load is less than or equal to the preset weight threshold, it can be determined that the environmental factor will not have a strong impact on the specific load value of the user's temperature control load and that the user's 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's temperature control load based on the historical moment value of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment. After obtaining the influence weight, the preset weight threshold can be called to compare the influence weight of each environmental factor on the user's temperature control load with the preset weight threshold, and the environmental factor corresponding to the influence weight greater than the preset weight threshold is determined as a key environmental factor that meets the strong correlation condition with the user's temperature control load.

[0087] In some embodiments, a mapping relationship between the correlation degree and the impact weight interval is preset in the baseline determination system, and the mapping relationship is shown in the following table:

[0088]

[0089] The baseline determination system can match the influence weights of each environmental factor and the user's temperature control load with the influence weight interval, and determine the correlation strength corresponding to the target influence weight interval based on the matched target influence weight interval, so as to screen out environmental factors with moderate or above correlation with the user's temperature control load from various environmental factors as key environmental factors that meet the strong correlation conditions.

[0090] In some of the embodiments, an influence weight determination model is pre-set in the baseline determination system. The baseline determination system can input the historical environmental moment values ​​of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment into the influence weight determination model to obtain the influence weight of each environmental factor on the user's temperature control load.

[0091] In some of the embodiments, an impact weight determination function is pre-set in the baseline determination system. Based on the impact weight determination function, the baseline determination system calculates the impact weight of the historical environmental moment value of each environmental factor at each moment in each historical day, and the historical temperature control moment load at the corresponding moment, to obtain the impact weight of each environmental factor on the user's temperature control load.

[0092] In the above embodiment, the impact weight of the environmental factor on the user's temperature control load is determined by the historical environmental moment value of the environmental factor at each moment in the historical day and the historical temperature control moment load at the corresponding moment, and the impact weight is compared with the preset weight threshold, so as to screen out the key environmental factors that meet the strong correlation conditions from various environmental factors, effectively improving the efficiency and accuracy of determining the key environmental factors, providing a data basis for subsequent baseline determination, and indirectly improving the efficiency and accuracy of baseline determination.

[0093] In some embodiments, Figure 3 As shown, according to the historical environmental 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, including:

[0094] S302, for each environmental factor, determine the historical environmental time standard values ​​of the environmental factor and the first standard average value of the historical environmental time standard values ​​according to the historical environmental time values ​​of the environmental factor.

[0095] Among them, the historical environmental moment standard value is the standard value after the historical environmental moment value is standardized. By standardizing the historical environmental moment value, different magnitudes or separate numerical features can be converted into numerical values ​​with a unified scale, so that all feature values ​​after conversion are distributed around 0 and have unit variance, that is, 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 values ​​of the environmental factor based on the historical environmental moment maximum value, the historical environmental moment minimum value and each historical environmental moment value, and then average the historical environmental moment standard values ​​to obtain the first standard average value of each historical environmental moment standard value.

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

[0098] ;

[0099] Among them, 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 It is the environmental value of the jth environmental factor at time t on the i-th day after standardization, that is, the standard value of the jth environmental factor at time t on the i-th day.

[0100] S304, determining the standard load of the environmental factor at each historical temperature control moment and the second standard average value of the standard load at each historical temperature control moment according to the load of the environmental factor at each historical temperature control moment.

[0101] Among them, the standard load at the historical temperature control moment is the standard value after the load at the historical temperature control moment is standardized.

[0102] Specifically, for each environmental factor, the baseline control system can determine the maximum load of the environmental factor at each historical temperature control moment and the minimum load at each historical temperature control moment from the loads at each historical temperature control moment, and determine the standard load of the environmental factor at each historical temperature control moment based on the maximum load at the historical temperature control moment, the minimum load at the historical temperature control moment and the loads at each historical temperature control moment, and then average the standard loads at each historical temperature control moment to obtain a second standard average value of the standard load at each historical temperature control moment.

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

[0104] ;

[0105] Among them, q it is the temperature control standard load at time t on the i-th day, p it is the temperature control load at time t on the i-th day, p max is the minimum value of temperature control load, p min It is the maximum value of temperature control load.

[0106] S306: Determine the weight of the impact of environmental factors on the user's temperature control load based on the standard value of each historical environmental moment, the first standard average value, the standard load of each historical temperature control moment, and the second standard average value.

[0107] Specifically, the baseline determination system can determine the impact weight of environmental factors on the user's temperature control load based on the standard values ​​of environmental factors at each historical environmental moment, the first standard average value, the standard load at each historical temperature control moment, and the second standard average value.

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

[0109] ;

[0110] Among them, n is the number of historical days collected, T is the total number of split time periods per day, is the standardized average temperature control load, that is, the second standard average value, is the environmental moment average value of the jth environmental factor after standardization, that is, the first standard average value, r jis the influence weight of the jth environmental factor and 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 impact weights can be effectively reduced. Subsequently, based on the historical environmental moment standard values, the first standard average value, the historical temperature control moment standard loads and the second standard average value, the impact weights of environmental factors on the user's temperature control load are determined, which can effectively improve the calculation accuracy of the impact weights and provide an accurate data basis for determining the subsequent demand response baseline.

[0112] In some embodiments, the load usage environment information includes the usage environment time value of each environmental factor at each moment in the calculation day. Figure 4 As shown, S206, based on the key environmental factors, the historical use environment information and the load use environment information are compared for similarity, and multiple historical similar days with similar key environmental factors as the calculation day are determined, including:

[0113] S402, based on the usage environment time values ​​of the key environmental factors, determine the standard values ​​of the key environmental factors at each usage environment time on the calculation day.

[0114] The environment time value used is the environment factor value of the key environment factor at the corresponding time in the calculation day.

[0115] Specifically, the baseline determination system can determine the maximum and minimum values ​​of the key environmental factors at the usage environment moment based on the values ​​of each usage environment moment of the key environmental factors, and determine the standard values ​​of the key environmental factors at each usage environment moment on the calculation day according to the maximum and minimum values ​​of the usage environment moment and each usage environment moment value.

[0116] In some of the embodiments, taking the jth environmental factor as the key environmental factor as an example, the baseline control system can calculate the standard value of the key environmental factor at each use environment time on the calculation day according to the following formula:

[0117] ;

[0118] Among them, y jt is the environmental value of the jth key environmental factor at time t on the calculation day after standardization, that is, the standard value of the use environment of the jth key environmental factor at time t on the calculation day, x jt It is the environmental moment value of the jth environmental factor at time t on the calculation day.

[0119] S404, for each historical day, determine the similarity value between the historical day and the calculation day according to the standard values ​​of each usage environment time of the key environmental factor, the standard values ​​of each historical environment time on the historical day, and the impact weight.

[0120] Specifically, for each historical day, the baseline determination system can determine the similarity value between the historical day and the calculation day based on the standard value of each usage environment moment of the key environmental factor, the standard value of each historical environment moment on the historical day, and the impact weight.

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

[0122] ;

[0123] Among them, M is the number of key environmental factors, S i is the similarity value of 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: Filter out a plurality of historical similar days that meet similarity requirements from the historical days according to the similarity values ​​of the historical days and a preset similarity threshold.

[0125] The preset similarity threshold is a preset threshold parameter used to determine 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 determination system can compare the similarity values ​​of each historical day with the preset similarity threshold, and for each historical day, when the similarity value of the historical day is greater than the preset similarity threshold, the historical day can be determined to be a historical similarity day that meets the similarity requirement. When 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 embodiment, by calculating the similarity value between each historical day and the calculation day, and comparing the similarity value with the preset similarity threshold, multiple historical similar days that meet the similarity requirements can be quickly and accurately screened out from each historical day, thereby improving the efficiency and accuracy of determining the demand response baseline.

[0128] In some embodiments, Figure 5 As shown, S208, based on the historical temperature control load information of each historical similar day, the user's demand response baseline on the calculation day is determined, including:

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

[0130] Specifically, for each historical similar day, the baseline determination system can compare the information differences between the historical usage environment information and the load usage environment information of the historical similar day to determine the information difference between the two. Since the usage environment conditions will have a major impact on the user's temperature control load, by comparing the usage environment conditions on the calculation day and the historical similar day, the information differences that may affect the temperature control load between the historical similar day and the calculation day can be determined. Based on the information difference, the historical temperature control load information is corrected, so that the historical temperature control load information of the historical similar day can be further approached to the temperature control load information of the calculation day, so as to achieve the effect of accurately determining the demand response baseline of the calculation day.

[0131] S504: Calculate the average reference load 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 correction operations on the historical temperature control load information of each historical similar day, it can obtain the corrected reference load information of each historical similar day, and then calculate the average value of each reference load information to obtain the reference load average value of each historical similar day.

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

[0134] Specifically, after obtaining the reference load average value, the baseline determination system can generate a user's demand response baseline on the calculation day according to the reference load average value.

[0135] In the above embodiment, the baseline determination system performs a correction operation on 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 days, and can further correct the historical similar days to the same historical days, determine the reference load average value based on the corrected reference load information of each historical similar day, and determine the demand response baseline of the calculation day according to the reference load average value, which can effectively improve the accuracy of determining the demand response baseline.

[0136] In some embodiments, Figure 6 As shown, in S502, according to the information difference between the historical use environment information and the load use environment information, a correction operation is performed on the historical temperature control load information, including:

[0137] S602: For each environmental factor, determine the impact value of the environmental factor on the user's temperature control load according to each historical environmental time value of the environmental factor, each historical temperature control time load, and the number of historical similar days.

[0138] Among them, the impact value of environmental factors on the user's temperature control load is a quantitative parameter used to evaluate the impact that environmental factors can have on the temperature control load. It can be understood that the larger the impact value, the greater the impact of the corresponding environmental factors on the user's temperature control load. Conversely, the smaller the impact value, the smaller the impact of the corresponding environmental factors on the user's temperature control load.

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

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

[0141] In some embodiments, the baseline determination system is pre-set 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. The influence value calculation formula is as follows:

[0142] ;

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

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

[0145] Specifically, while determining the impact of environmental factors on the user's temperature control load, the baseline determination system can determine the environmental average value of the environmental factors based on the historical environmental moment values ​​and the environmental moment values ​​of the environmental factors. Based on the environmental average value of the environmental factors and the environmental moment values ​​of the environmental factors, the system can determine the difference between the environmental factors at each moment in the historical similar day and the calculation day.

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

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

[0148] ;

[0149] in, is the environmental average of environmental factor j, x jt It is the usage environment value of environmental factor j at time t on the calculation day.

[0150] S606: Determine, according to the difference value and the impact value at each moment, a correction value for adjusting the load at each historical temperature control moment.

[0151] Specifically, after obtaining the difference values ​​and impact values ​​of environmental factors at each moment, the baseline determination system can determine the correction value for adjusting the load at each historical temperature control moment based on the difference values ​​and impact values ​​at each moment. It can be understood that the baseline determination system can determine the product of the difference value at each moment and the impact value as the correction value for adjusting the load at the corresponding historical temperature control moment.

[0152] S608, adjusting the load at each historical temperature control moment according to each correction value, and obtaining reference load information of a historical similar day relative to the calculation day.

[0153] Specifically, the baseline determination system can adjust the load at each historical temperature control moment according to the correction value corresponding to the load at each historical temperature control moment, 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 moment load corresponding to each moment of the historical similar day.

[0154] In some embodiments, the temperature control moment load adjustment formula can be directly set in the baseline determination system, and the reference temperature control moment load of the historical similar day relative to the calculation day can be determined by the temperature control moment load adjustment formula. The temperature control moment load adjustment formula is as follows:

[0155] ;

[0156] in, It is the temperature control load of the corrected historical similar day i at time t, that is, the reference temperature control load of the historical similar day i relative to the calculation day at time t.

[0157] In the above embodiment, the correction value for adjusting the load at each historical temperature control moment is determined by the impact value of the environmental factor on the user's temperature control load and the difference between the environmental factor at each moment on the historical similar day and the calculation day. The obtained correction value can take into account the impact of the environmental factor on the temperature control load and the difference between the environmental factor at each moment on the historical similar day and the calculation day, thereby improving the accuracy of the correction value. Subsequently, the load at the historical temperature control moment is adjusted according to the correction value, so that reference load information with more accurate prediction for the calculation day can be obtained.

[0158] Further, in some embodiments, Figure 7 As shown, S608, the load at each historical temperature control moment is adjusted according to each correction value to obtain the reference load information of the historical similar day relative to the calculation day, including:

[0159] S702: Initially adjust the load at each historical temperature control moment according to the correction value to obtain initial reference load information of the historical similar day relative to the calculation day.

[0160] Specifically, the baseline determination system makes initial adjustments to the load at each historical temperature control moment according to the 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 moment load corresponding to each moment of the historical day.

[0161] S704, obtaining the capacity of the temperature control device on the calculation day and the historical capacity of the temperature control device on similar historical days.

[0162] Among them, the temperature control equipment capacity is the installed capacity of the user's temperature control equipment on the calculation day, and the temperature control equipment historical capacity is the installed capacity of the user's temperature control equipment on similar historical days. It can be understood that in addition to environmental factors affecting the user's temperature control load, changes in temperature control equipment capacity will also affect changes in the user's temperature control load.

[0163] Specifically, considering the possibility of changes in the installed capacity of the user's temperature control equipment, the baseline determination system can obtain the capacity of the temperature control equipment on the calculation day and the historical capacity of the temperature control equipment on similar historical days.

[0164] S706, based on the capacity of the temperature control device and the capacity ratio of the historical capacity of the temperature control device, the initial reference load information is corrected for the second time to obtain the reference load information of the historical similar day relative to the calculation day.

[0165] Specifically, after obtaining the capacity of the temperature control equipment on the calculation day and the historical capacity of the temperature control equipment on a similar historical day, the baseline determination system can calculate the capacity ratio of the temperature control equipment capacity to the historical capacity of the temperature control equipment, and perform a secondary correction on the initial reference load information based on the capacity ratio to obtain the reference load information of the similar historical day relative to the calculation day.

[0166] In some of the embodiments, the baseline determination system may determine the product of the capacity ratio and the load at each initial reference temperature control moment in the initial reference load information as the reference temperature control moment load corresponding to each moment on a historical similar day, and obtain the reference load information of the historical similar day relative to the calculation day.

[0167] In the above embodiment, the initial reference load information is corrected for the second time by using the capacity ratio of the temperature control device capacity to the historical capacity of the temperature control device. This enables the reference load information finally obtained to fully consider the possible impact of changes in the capacity of the user's temperature control device, thereby improving the accuracy of the reference load information and further improving the accuracy of the demand response baseline determination.

[0168] In some embodiments, Figure 8 As shown, a method for determining a demand response baseline is provided, and the method specifically includes the following steps:

[0169] S801, collecting the user's air conditioning load data and environmental data at each time period.

[0170] Specifically, the baseline determination system can collect the user's air conditioning load at various time periods, as well as data such as temperature, humidity, solar radiation, and heat generation of personnel.

[0171] S802, filter and remove abnormal values ​​from the air conditioning load data and the environmental data, and update the air conditioning load data and the environmental data.

[0172] Specifically, the baseline determination system can filter the collected air-conditioning load data and environmental data through the Laida criterion, remove abnormal values, and update the air-conditioning load data and environmental data.

[0173] The formula for screening using the Laida criterion is as follows:

[0174]

[0175]

[0176]

[0177] ;

[0178] Among them, n is the number of historical dates collected, is the environmental value of the jth environmental factor at time t on the i-th day, is the standard deviation of the jth environmental factor at time t, is the average value of the jth environmental factor at time t, is the difference of the jth environmental factor at time t on the i-th day. , the data is considered abnormal data. is the air conditioning load at time t on the i-th day, is the standard deviation of the air conditioning load at time t, is the average value of the air conditioning load at time t, is the difference in air conditioning load at time t on the i-th day. , the data is considered abnormal data.

[0179] S803: Calculate the weight of each environmental factor affecting the air conditioning load according to the environmental data and the air conditioning load data.

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

[0181]

[0182]

[0183] ;

[0184] Among them, 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 environmental moment value of the jth environmental factor at time t on the i-th day after standardization, that is, the standard value of the jth environmental factor at time t on the i-th day, is the average value of the jth environmental factor at the time of standardization, rj is the influence weight of the jth environmental factor and the temperature control load, which can characterize the correlation between the jth environmental factor and the air conditioning load. T is the total number of split periods per day, p max is the minimum value of air conditioning load, p min is the maximum value of air conditioning load, q it is the temperature control standard load at time t on the i-th day, is the standardized average air conditioning load.

[0185] S804, performing correlation screening on the weights of the influence of various environmental factors on the air conditioning load, and screening out key environmental factors that are strongly correlated with the load.

[0186] Specifically, the baseline determination system performs correlation screening on the weights of the impact of air conditioning load, which generally have the following relationship:

[0187] ;

[0188] According to the above mapping relationship, the baseline determination system can screen out key environmental factors that are moderately correlated with the air conditioning load or above from various environmental factors.

[0189] S805, based on the weight of each key environmental factor affecting the air conditioning load, the key environmental factors of historical days are compared for similarity, and several similar historical days are selected.

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

[0191]

[0192] ;

[0193] Among them, M is the number of key environmental factors obtained after screening, S i is the comprehensive evaluation of historical day i, that is, the similarity value of historical day i. The lower the evaluation score, the more similar the historical day is to the calculation day. jt is the environmental value of the jth key environmental factor at time t on the calculation day after standardization, that is, the standard value of the use environment of the jth key environmental factor at time t on the calculation day, x jt It is the environmental moment value of the jth environmental factor at time t on the calculation day.

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

[0195] Specifically, after obtaining multiple historical similar days, the baseline determination system needs to further adjust the load data according to the different detailed environmental factors. The baseline determination system can calculate the impact of each environmental factor on the air conditioning load according to the formula shown below, and then adjust the historical load data to obtain the reference load for demand response:

[0196]

[0197] ;

[0198] Among them, D is the total number of historical similar days obtained after screening, k j is the impact of environmental factor j on air conditioning load, is the air conditioning load of the corrected historical similar day i at time t, is the environmental mean value of environmental factor j.

[0199] Taking into account the changes in user capacity, the baseline determination system can adjust the capacity ratio again based on the load data of similar historical days. The formula is as follows:

[0200] ;

[0201] in, is the air conditioning load of the historical similar day i at time t after correction, S is the air conditioning installed capacity of the user on the calculation day, S i is the user’s air conditioning installed capacity on a similar historical day i.

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

[0203] Specifically, the baseline determination system can average the corrected historical similar day air conditioning loads 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] in, It is the demand response baseline for calculating the daily user's electricity demand response.

[0206] The demand response baseline determination method in the above embodiment, by analyzing the historical similar days of the user environment, fully considers the impact of environmental factors on the temperature control load and accurately determines the baseline of the power demand response. Secondly, it can help users calculate their own demand response baseline, and provide a basis for whether users participate in power demand response and the amount of demand response they participate in.

[0207] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

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

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

[0210] The information acquisition module 901 is used to obtain the user's historical temperature control load information, historical usage environment information, and load usage environment information on the calculation day.

[0211] The key environmental factor determination module 902 is used to determine the key environmental factors that meet the strong correlation condition with the user's temperature control load according to the historical temperature control load information and the historical use environment information.

[0212] The similar day determination module 903 is used to compare the historical usage environment information with the load usage environment information based on key environmental factors, and determine multiple historical similar days with similar key environmental factors to the calculation day.

[0213] The baseline determination module 904 is used to determine the user's demand response baseline on the calculation day based on the historical temperature control load information of each historical similar day.

[0214] In some embodiments, the historical use environment information includes the historical environment moment value of each environmental factor at each moment in each historical day; the historical temperature control load information includes the historical temperature control moment load at each moment in each historical day. The key environmental factor determination module 902 is used to: determine the influence weight of each environmental factor on the user's temperature control load according to the historical environment moment value of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment; determine the environmental factor corresponding to the influence weight greater than the preset weight threshold as the key environmental factor that meets the strong correlation condition with the user's temperature control load.

[0215] In some embodiments, the key environmental factor determination module 902 is used to: for each environmental factor, determine the standard value of the environmental factor at each historical environmental moment and the first standard average value of the standard value at each historical environmental moment according to the historical environmental moment value of the environmental factor; determine the standard load of the environmental factor at each historical temperature control moment and the second standard average value of the standard load at each historical temperature control moment according to the load of the environmental factor at each historical temperature control moment; determine the weight of the environmental factor's impact on the user's temperature control load based on the standard value of each historical environmental moment, the first standard average value, the standard load of each historical temperature control moment and the second standard average value.

[0216] In some embodiments, the load usage environment information includes the usage environment moment value of each environmental factor at each moment in the calculation day. The similar day determination module 903 is used to: determine the standard value of each usage environment moment of the key environmental factor on the calculation day based on the usage environment moment value of each key environmental factor; for each historical day, determine the similarity value between the historical day and the calculation day according to the standard value of each usage environment moment of the key environmental factor, the standard value of each historical environment moment on the historical day, and the influence weight; according to the similarity value of each historical day and the preset similarity threshold, select multiple historical similar days that meet the similarity requirements from each historical day.

[0217] In some embodiments, the baseline determination module 904 is used 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 usage environment information and the load usage 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; determine the user's demand response baseline on the calculation day according to the reference load average value.

[0218] In some embodiments, the baseline determination module 904 is used to: for each environmental factor, determine the impact value of the environmental factor on the user's temperature control load based on the historical environmental moment values ​​of the environmental factor, the historical temperature control moment loads, and the number of historical similar days; determine the difference values ​​of the environmental factor at each moment between the historical similar day and the calculation day based on the environmental average value of the environmental factor and the environmental moment values ​​of each usage environment; determine the correction value for the corresponding adjustment of the load at each historical temperature control moment based on the difference value and the impact value at each moment; adjust the load at each historical temperature control moment according to each correction value, and obtain the reference load information of the historical similar day relative to the calculation day.

[0219] In some embodiments, the baseline determination module 904 is used to: perform initial adjustments to the load at each historical temperature control moment 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 historical capacity of the temperature control equipment of the historical similar day; based on the capacity ratio of the temperature control equipment capacity and the historical capacity of the temperature control equipment, perform secondary corrections on the initial reference load information to obtain the reference load information of the historical similar day relative to the calculation day.

[0220] Each module in the above-mentioned demand response baseline device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0221] In one embodiment, a computer device is provided. The computer device may be a server or a terminal integrated with a baseline determination system. The internal structure diagram thereof may be as follows: Fig.10As shown. The computer device includes a processor, a memory and a network interface connected via 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 data such as historical temperature control load information, historical usage environment information, load usage environment information, key environmental factors, historical similar days and demand response baselines. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a demand response baseline method is implemented.

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

[0223] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the specific steps of the above-mentioned demand response baseline determination method embodiment are implemented.

[0224] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the specific steps of the above-mentioned demand response baseline determination method embodiment are implemented.

[0225] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the specific steps of the above-mentioned demand response baseline determination method embodiment.

[0226] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. In addition, the acquisition, storage, processing, and transmission of data are in compliance with relevant 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, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this 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 memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access 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 and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0228] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0229] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining a demand response baseline, characterized in that: The method comprises: Obtain the user's historical temperature control load information, historical usage environment information, and load usage environment information on the calculation day; Determine, based on the historical temperature control load information and the historical usage environment information, key environmental factors that meet a strong correlation condition with the user's temperature control load; Based on the key environmental factors, the historical usage environment information and the load usage environment information are compared for similarity, and a plurality of historical similar days having key environmental factors similar to the calculation day are determined; According to the historical temperature control load information of each of the historical similar days, a demand response baseline of the user on the calculation day is determined.

2. The method according to claim 1, characterized in that The historical use environment information includes the historical environment moment values ​​of each environmental factor at each moment in each historical day; the historical temperature control load information includes the historical temperature control moment load at each moment in each historical day; The determining, based on the historical temperature control load information and the historical usage environment information, key environmental factors that meet a strong correlation condition with the user's temperature control load includes: Determine the influence weight of each environmental factor on the user's temperature control load according to the historical environmental moment value of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment; The environmental factors corresponding to the influence weights greater than the preset weight threshold are determined as the key environmental factors that meet the strong correlation condition with the user's temperature control load.

3. The method according to claim 2, characterized in that Determining the influence weight of each environmental factor on the user's temperature control load according to the historical environmental moment value of each environmental factor at each moment in each historical day and the historical temperature control moment load at the corresponding moment includes: For each of the environmental factors, according to the historical environmental moment values ​​of the environmental factor, determine the historical environmental moment standard values ​​of the environmental factor and the first standard average value of the historical environmental moment standard values; Determine, according to the loads at each historical temperature control moment of the environmental factor, the standard loads at each historical temperature control moment of the environmental factor, and a second standard average value of the standard loads at each historical temperature control moment; Based on the standard values ​​of each historical environmental moment, the first standard average value, the standard load of each historical temperature control moment and the second standard average value, the influence weight of the environmental factor on the user's temperature control load is determined.

4. The method according to claim 3, characterized in that The load usage environment information includes the usage environment moment value of each environmental factor at each moment in the calculation day; The performing similarity comparison between the historical usage environment information and the load usage environment information based on the key environment factors to determine a plurality of historical similar days having key environment factors similar to the calculation day includes: Determine the standard value of the key environmental factor at each usage environment time on the calculation day based on the usage environment time value of the key environmental factor; For each of the historical days, determine the similarity value between the historical day and the calculation day according to the standard values ​​of the use environment time of the key environmental factors, the standard values ​​of the historical environment time on the historical day, and the impact weight; According to the similarity values ​​of the respective historical days and a preset similarity threshold, a plurality of historical similar days that meet the similarity requirements are screened out from the historical days.

5. The method according to claim 4, characterized in that Determining the user's demand response baseline on the calculation day according to the historical temperature control load information of each of the historical similar days includes: For each of the historical similar days, performing a correction operation on the historical temperature control load information according to the information difference between the historical usage environment information and the load usage environment information; Calculate the average value of the reference load for each of the similar historical days based on the corrected reference load information for each of the similar historical days; The demand response baseline of the user on the calculation day is determined according to the reference load average value.

6. The method according to claim 5, characterized in that The performing a correction operation on the historical temperature control load information according to the information difference between the historical usage environment information and the load usage environment information includes: For each of the environmental factors, determine the impact value of the environmental factor on the user's temperature control load according to the historical environmental time values ​​of the environmental factor, the historical temperature control time loads, and the number of historical similar days; Based on the environmental average value of the environmental factor and each of the usage environment time values, determining the difference value of the environmental factor at each time between the historical similar day and the calculation day; Determine, according to the difference value at each moment and the impact value, a correction value for correspondingly adjusting the load at each historical temperature control moment; The load at each of the historical temperature control moments is adjusted according to each of the correction values ​​to obtain reference load information of the historical similar day relative to the calculation day.

7. The method according to claim 6, characterized in that The load at each of the historical temperature control moments is adjusted according to each of the correction values ​​to obtain reference load information of the historical similar day relative to the calculation day, including: Performing initial adjustments to the loads at each of the historical temperature control moments according to the correction values, to obtain initial reference load information of the historical similar day relative to the calculation day; Obtaining the capacity of the temperature control device on the calculation day and the historical capacity of the temperature control device on the historically similar day; Based on the capacity of the temperature control device and the capacity ratio of the historical capacity of the temperature control device, the initial reference load information is corrected twice to obtain the reference load information of the historical similar day relative to the calculation day.

8. A demand response baseline device, characterized in that: The device comprises: The information acquisition module is used to obtain the user's historical temperature control load information, historical usage environment information, and load usage environment information on the calculation day; A key environmental factor determination module, used to determine key environmental factors that meet a strong correlation condition with the user's temperature control load based on the historical temperature control load information and the historical use environment information; A similar day determination module is used to compare the historical use environment information with the load use environment information based on the key environmental factors, and determine a plurality of historical similar days with similar key environmental factors to the calculation day; The baseline determination module is used to determine the user's demand response baseline on the calculation day based on the historical temperature control load information of each of the historical similar days.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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