Industrial development prosperity index calculation method and system based on electricity consumption

Abstract

The invention relates to the technical field of electric power and industrial data prediction, and discloses an industrial development prosperity index calculation method and system based on electricity consumption, and the method comprises the steps: obtaining industrial electric power index time sequence data and industrial development index time sequence data in a preset time period; preprocessing the acquired data, screening all index types to obtain three types of index groups, namely a first index group, a consistent index group and a lagging index group, and performing weight division on the three types of index groups based on power consumption to obtain corresponding weight values of the three types of index groups; and on the basis of the three types of index groups and the corresponding weight values, an industrial development prosperity index is constructed through a synthetic index method. According to the method, the consistent group industrial development index can be used for monitoring the current industrial development trend, the advanced group industrial development index can predict the increase or decline of industrial development in advance, and a prospective early warning signal is provided for a decision maker, so that policy making and industrial development prediction are better supported.

Description

Technical Field

[0001] The present invention relates to the technical field of power and industrial data prediction, and in particular to a method and system for calculating an industrial development prosperity index based on power consumption. Background Art

[0002] Electricity consumption is regarded as one of the key indicators to measure the health of industrial activities in a country or region, because it not only reflects the level of industrial production activity, but also indirectly reflects the overall economic growth trend. As an important part of national economic development, changes in its demand directly reflect the level of industrial development and operation activity. Electricity data has many advantages such as wide coverage, fine granularity, high accuracy, good continuity, and strong real-time performance. It can record the production and operation process and operation trajectory of industrial development entities in detail, providing a solid data foundation for industrial development analysis based on electricity data.

[0003] Current research mainly focuses on the construction of prosperity index at the macroeconomic level, but fails to focus on the construction of prosperity index of industrial data. At the same time, the existing methods lack detailed division and classification analysis of industries. Therefore, a quantitative and accurate prediction scheme for industrial sub-sectors is urgently needed. Summary of the invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method and system for calculating the industrial development prosperity index based on electricity consumption to solve the problem that there is currently no clear and highly correlated prediction model and method for industrial segmentation, which cannot accurately reflect the changing trend of industrial development and provide forward-looking early warning signals for policy making.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for calculating an industrial development prosperity index based on electricity consumption, comprising: obtaining industry power index time series data and industrial development index time series data within a preset time period;

[0008] After preprocessing the acquired data, all indicator types are screened to obtain three indicator groups: leading, consistent and lagging. The three indicator groups are weighted based on power consumption to obtain corresponding weight values ​​of the three indicator groups.

[0009] Based on the three indicator groups and their corresponding weight values, the industrial development prosperity index is constructed through the composite index method.

[0010] As a preferred solution of the method for calculating the industrial development prosperity index based on electricity consumption described in the present invention, the preprocessing includes:

[0011] Interpolation and mean substitution methods were used to complete missing data and obtain supplementary data;

[0012] Calculate and obtain the year-on-year growth rate of electricity and industrial development data based on the completed data;

[0013] Based on the completed data, the power data and industrial development data are time-aligned and synchronized respectively to match the power data and industrial development data at the same time point.

[0014] As a preferred solution of the method for calculating the industrial development prosperity index based on electricity consumption described in the present invention, all indicator types are screened to obtain three types of indicator groups: leading, consistent and lagging, including:

[0015] The indicators are screened by the time difference correlation coefficient method, specifically:

[0016] Select the industrial development index as the benchmark index and the power index as the index to be screened, and calculate the time difference correlation coefficient between the power index and the industrial development index;

[0017] The sequence of power indicators to be screened is represented by A = {a1, a2, ..., a n}, the industrial development benchmark indicator sequence is expressed as B = {b1, b2, ..., b n}, then the time difference correlation coefficient calculation and the maximum time difference correlation coefficient are expressed as:

[0018]

[0019] Among them, r l represents the time difference correlation coefficient of the corresponding period; l represents the number of lead and lag periods; n l represents the number of aligned data; r is the maximum time difference correlation coefficient between the indicator sequence to be screened and the benchmark indicator sequence; L represents the maximum delay number.

[0020] As a preferred solution of the method for calculating the industrial development prosperity index based on electricity consumption described in the present invention, the leading, consistent and lagging indicator groups are screened out according to the size of the time difference correlation coefficient, including:

[0021] When the time difference correlation coefficient between any power index and industrial development index reaches a significant level, and

[0022] If it reaches the maximum value during the positive time difference period, the power index is classified as a leading index;

[0023] If the maximum value is reached at zero time difference period, the power index is classified as a consistent index;

[0024] If the maximum value is reached during the negative time difference period, the power indicator is classified as a lagging indicator.

[0025] As a preferred solution of the method for calculating the industrial development prosperity index based on electricity consumption described in the present invention, the weight division of the three indicator groups based on electricity consumption is expressed as follows:

[0026]

[0027] Among them, w ij is the weight of the i-th indicator of the j-th group; H ij is the power consumption of the jth power indicator in the i-th indicator group; n i Indicates the number of indicators in the i-th indicator group.

[0028] As a preferred solution of the method for calculating the industrial development prosperity index based on electricity consumption described in the present invention, the industrial development prosperity index is constructed by a composite index method, including:

[0029] Calculate the symmetrical change rate C of each group of indicator data of the three groups of indicators ij , expressed as:

[0030] C ij (t) = A ij (t)-A ij (t-1)

[0031] Among them, i = 1, 2, 3 represent the leading group, the consistent group and the lagging group respectively; j is the number of indicators in each group; t = 1, 2, ..., n represents the corresponding time period;

[0032] Based on the symmetric rate of change C ij Calculate the average change rate E of each group of indicators ij , expressed as:

[0033]

[0034] Among them, D ij is the standard rate of change, expressed as:

[0035]

[0036] As a preferred solution of the method for calculating the industrial development prosperity index based on electricity consumption described in the present invention, wherein: the industrial development prosperity index is constructed by the composite index method, and further includes: calculating the weight of the three indicator groups based on electricity consumption and the average change rate E ij Calculate the standardized mean rate of change F j , expressed as:

[0037]

[0038] By normalizing the average rate of change F j Calculate the industrial development prosperity index G i , expressed as:

[0039]

[0040] Among them, let the initial G i (1)=100.

[0041] In a second aspect, the present invention provides an industrial development prosperity index calculation system based on electricity consumption, including: an acquisition module, used to acquire industry power index time series data and industrial development index time series data within a preset time period;

[0042] The preprocessing and screening module is used to preprocess the acquired data and then screen all indicator types to obtain three indicator groups: leading, consistent and lagging. The three indicator groups are weighted based on power consumption to obtain corresponding weight values ​​of the three indicator groups.

[0043] The composite calculation module is used to construct the industrial development prosperity index through the composite index method based on three types of indicator groups and their corresponding weight values.

[0044] In a third aspect, the present invention provides a computing device, comprising:

[0045] Memory and processor;

[0046] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the method for calculating the industrial development prosperity index based on electricity consumption are implemented.

[0047] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for calculating the industrial development prosperity index based on electricity consumption.

[0048] Compared with the prior art, the present invention has the following beneficial effects: the present invention combines the regional industry-specific electricity consumption data, analyzes the relevant changes and characteristic analysis of electricity consumption and industrial development data, selects leading, consistent and lagging indicators of industrial development indicators, and effectively captures the cyclical changes of industrial development operation by utilizing the real-time and high-precision characteristics of electricity indicators; and then respectively adopts the indicator weight division method based on correlation coefficient and electricity consumption to construct an industrial development prosperity index calculation model based on electricity consumption data, which can accurately reflect the changing trend of industrial development indicators. According to this method, the consistent group industrial development index can be used to monitor the current industrial development trend, and the leading group industrial development index can predict the growth or decline of industrial development in advance, providing decision makers with forward-looking early warning signals, thereby better supporting policy formulation and industrial development forecasting. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0050] Figure 1 This is a schematic diagram of the overall process logic of the method for calculating the industrial development prosperity index based on electricity consumption according to the first embodiment of the present invention;

[0051] Figure 2 This is a schematic diagram of the overall framework of the method for calculating the industrial development prosperity index based on electricity consumption according to the first embodiment of the present invention;

[0052] Figure 3 This is a schematic diagram of the EPI index of industrial sub-sectors in the method for calculating the industrial development prosperity index based on electricity consumption described in the second embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0054] Example 1, reference Figure 1-Figure 2 , which is an embodiment of the present invention, provides a method for calculating an industrial development prosperity index based on electricity consumption, comprising:

[0055] S100: Acquire time series data of industry power indicators and industrial development indicators within a preset time period;

[0056] Specifically, the preset time period refers to the significant changes in electricity consumption and industrial development activities in a specific economic period, and different industrial development cycle stages reflect different states of industrial development operation.

[0057] For example, the period from 2015 to 2019 includes a period of stable economic growth, industrial structure adjustment, and industrial development transformation, in order to fully capture the fluctuations of the industrial development cycle. During this period, the changes in power data and industrial development data can reflect the real dynamics of the industry.

[0058] Exemplarily, the electricity index time series data includes monthly electricity consumption and year-on-year growth rate, etc.

[0059] The time series data of industrial development indicators include GDP growth rate and industrial added value growth rate.

[0060] S200: After preprocessing the acquired data, all indicator types are screened to obtain three indicator groups: leading, consistent and lagging. The three indicator groups are weighted based on power consumption to obtain corresponding weight values ​​of the three indicator groups.

[0061] In the embodiment of the present application, the preprocessing includes:

[0062] Interpolation and mean substitution methods were used to complete missing data and obtain supplementary data;

[0063] Calculate and obtain the year-on-year growth rate of electricity and industrial development data based on the completed data;

[0064] Based on the completed data, the power data and industrial development data are time-aligned and synchronized respectively to match the power data and industrial development data at the same time point.

[0065] It should be noted that data preprocessing is an important basic link in building the industrial development prosperity index calculation model. By systematically processing the collected power and industrial development data, the integrity, consistency and accuracy of the data are ensured, laying the foundation for subsequent analysis. Interpolation and mean substitution methods are used to complete missing data to ensure the continuity and integrity of time series data;

[0066] At the same time, the year-on-year growth rate can reflect the relative changes in the data, help eliminate the impact of seasonal and cyclical fluctuations on the data, and make data analysis more robust. The calculation formula is as follows:

[0067]

[0068] Where, X t The data value of the current period, X t-1 Indicates the data value for the same period of the previous year.

[0069] It should also be noted that the power data and industrial development data are aligned along the time axis to ensure that the two types of data have consistent time tags in the same time period. The time alignment process includes matching power and industrial development data at the same time point and ensuring the synchronization and consistency of the data so that the subsequent analysis can accurately reflect the changes in power consumption and industrial development in the same time period.

[0070] In the embodiment of the present application, all indicator types are screened to obtain three indicator groups: leading, consistent and lagging, including:

[0071] The indicators are screened by the time difference correlation coefficient method, specifically:

[0072] Select the industrial development index as the benchmark index and the power index as the index to be screened, and calculate the time difference correlation coefficient between the power index and the industrial development index;

[0073] The sequence of power indicators to be screened is represented by A = {a1, a2, ..., a n}, the industrial development benchmark indicator sequence is expressed as B = {b1, b2, ..., b n}, then the time difference correlation coefficient calculation and the maximum time difference correlation coefficient are expressed as:

[0074]

[0075] Among them, r l represents the time difference correlation coefficient of the corresponding period; l represents the number of lead and lag periods; n l represents the number of aligned data; r is the maximum time difference correlation coefficient between the indicator sequence to be screened and the benchmark indicator sequence; L represents the maximum delay number.

[0076] It should be noted that the time difference correlation coefficient method analyzes the correlation between time series data and can identify the time delay relationship between power indicators and industrial development indicators.

[0077] In the embodiment of the present application, according to the size of the time difference correlation coefficient, the leading, consistent and lagging indicator groups are screened out, including:

[0078] When the time difference correlation coefficient between any power index and industrial development index reaches a significant level, and

[0079] If it reaches the maximum value during the positive time difference period, the power index is classified as a leading index;

[0080] If the maximum value is reached at zero time difference period, the power index is classified as a consistent index;

[0081] If the maximum value is reached during the negative time difference period, the power indicator is classified as a lagging indicator.

[0082] Specifically, the above screening can be understood as follows: when the time difference correlation coefficient between any power indicator (for example, power consumption) and the industrial development indicator reaches a significant level, and reaches the maximum value in the positive time difference period (that is, the power indicator leads the industrial development indicator), the power indicator is classified as a leading indicator; when it reaches the maximum value in the zero time difference period (that is, the power indicator is synchronized with the industrial development indicator), it is classified as a consistent indicator; when it reaches the maximum value in the negative time difference period (that is, the power indicator lags behind the industrial development indicator), it is classified as a lagging indicator;

[0083] The significance level can be judged by the time difference correlation coefficient being greater than 0.5 or can be set numerically according to actual needs.

[0084] In the embodiment of the present application, the weight division of the three indicator groups based on the power consumption is expressed as follows:

[0085]

[0086] Among them, w ij is the weight of the i-th indicator of the j-th group; H ij is the power consumption of the jth power indicator in the i-th indicator group; n i Indicates the number of indicators in the i-th indicator group.

[0087] It should be noted that the weight division method based on electricity consumption comprehensively considers the actual impact of electricity indicators, so that electricity indicators with higher electricity consumption occupy a greater weight in the calculation of the prosperity index.

[0088] S300: Based on three indicator groups and their corresponding weight values, the industrial development prosperity index is constructed through the composite index method.

[0089] In the embodiment of the present application, the industrial development prosperity index is constructed by the composite index method, including:

[0090] Calculate the symmetrical change rate C of each group of indicator data of the three groups of indicators ij , expressed as:

[0091] C ij (t) = A ij (t)-A ij (t-1)

[0092] Among them, i = 1, 2, 3 represent the leading group, the consistent group and the lagging group respectively; j is the number of indicators in each group; t = 1, 2, ..., n represents the corresponding time period;

[0093] Based on the symmetric rate of change C ij Calculate the average change rate E of each group of indicators ij , expressed as:

[0094]

[0095] Among them, D ij is the standard rate of change, expressed as:

[0096]

[0097] In the embodiment of the present application, it also includes the weight of the three indicator groups based on the power consumption and the average change rate E ij Calculate the standardized mean rate of change F j , expressed as:

[0098]

[0099] By normalizing the average rate of change F j Calculate the industrial development prosperity index G i , expressed as:

[0100]

[0101] Among them, let the initial G i (1)=100.

[0102] It should be noted that the synthetic industrial development prosperity index can effectively reflect the changing trend of industrial development indicators. The use of the synthetic index method can not only describe the peaks and troughs, but also its fluctuation range can be used as a reference for the fluctuation range of industrial development.

[0103] According to this method, the industrial development index of the consistent group can be used to monitor the current trend of industrial development, and the industrial development index of the leading group can predict the growth or decline of industrial development in advance, providing forward-looking early warning signals for decision makers, thereby better supporting policy making and industrial development forecasting.

[0104] The above is a schematic scheme of a method for calculating the industrial development prosperity index based on electricity consumption in this embodiment. It should be noted that the technical scheme of the system for calculating the industrial development prosperity index based on electricity consumption and the technical scheme of the method for calculating the industrial development prosperity index based on electricity consumption belong to the same concept. For details not described in detail in the technical scheme of the system for calculating the industrial development prosperity index based on electricity consumption in this embodiment, please refer to the description of the technical scheme of the method for calculating the industrial development prosperity index based on electricity consumption.

[0105] The industrial development prosperity index calculation system based on electricity consumption in this embodiment includes:

[0106] An acquisition module, used to acquire time series data of industry power indicators and industrial development indicators within a preset time period;

[0107] The preprocessing and screening module is used to preprocess the acquired data and then screen all indicator types to obtain three indicator groups: leading, consistent and lagging. The three indicator groups are weighted based on power consumption to obtain corresponding weight values ​​of the three indicator groups.

[0108] The composite calculation module is used to construct the industrial development prosperity index through the composite index method based on three types of indicator groups and their corresponding weight values.

[0109] This embodiment further provides a computing device, which is applicable to the case of calculating the industrial development prosperity index based on electricity consumption, and includes:

[0110] A memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the method for calculating the industrial development prosperity index based on electricity consumption as proposed in the above embodiment.

[0111] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for calculating the industrial development prosperity index based on electricity consumption as proposed in the above embodiment is implemented.

[0112] The storage medium proposed in this embodiment and the method for calculating the industrial development prosperity index based on electricity consumption proposed in the above embodiment belong to the same inventive concept. The technical details not described in detail in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0113] Through the above description of the implementation methods, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software and necessary general hardware, and of course can also be implemented by hardware. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ReadOnly, Memory, ROM), random access memory (Random Access Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform the methods of various embodiments of the present invention.

[0114] Example 2

[0115] Refer to Table 1 and Figure 3 Based on the previous embodiment, this embodiment provides an application comparison case of an industrial development prosperity index calculation method based on electricity consumption to illustrate the feasibility and beneficial effects of our solution.

[0116] The monthly industrial added value year-on-year growth rate data of Zhejiang Province from 2013 to 2023 are selected as economic indicators, and the electricity consumption data of 14 industrial sub-sectors in Zhejiang Province from 2013 to 2023 are selected as power indicators. By analyzing the time lag relationship between the electricity consumption indicators and economic indicators of the 14 industrial sub-sectors, the industrial sub-sectors are classified into leading, consistent, and lagging groups. Then, based on each group of electricity consumption data, the corresponding industrial development prosperity index is calculated.

[0117] Table 1 Calculation results of industry sub-sector indicators

[0118]

[0119] From the results in Table 1, we can see that all light industries are synchronized with the development indicators, and some raw material-based heavy industries have a leading effect, indicating that the production activities of these industries are forward-looking and can predict development changes in advance.

[0120] from Figure 3 The results show that the consistent group EPI curve keeps pace with the development index curve in most time periods, especially in the development peaks in mid-2013, early 2017 and early 2021, and the development troughs in late 2015 and early 2020. The fluctuation trends of the two are almost the same, indicating that the consistent group indicators can accurately monitor the current development status.

[0121] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for calculating the industrial development prosperity index based on electricity consumption, characterized in that: include: Obtain time series data of industry power indicators and industrial development indicators within a preset time period; After preprocessing the acquired data, all indicator types are screened to obtain three indicator groups: leading, consistent and lagging. The three indicator groups are weighted based on power consumption to obtain corresponding weight values ​​of the three indicator groups. Based on the three indicator groups and their corresponding weight values, the industrial development prosperity index is constructed through the composite index method.

2. The method for calculating the industrial development prosperity index based on electricity consumption according to claim 1, characterized in that: The pre-processing comprises: Interpolation and mean substitution methods were used to complete missing data and obtain supplementary data; Calculate and obtain the year-on-year growth rate of electricity and industrial development data based on the completed data; Based on the completed data, the power data and industrial development data are time-aligned and synchronized respectively to match the power data and industrial development data at the same time point.

3. The method for calculating the industrial development prosperity index based on electricity consumption according to claim 2, characterized in that: All indicator types are screened to obtain three indicator groups: leading, coincident and lagging, including: The indicators are screened by the time difference correlation coefficient method, specifically: Select the industrial development index as the benchmark index and the power index as the index to be screened, and calculate the time difference correlation coefficient between the power index and the industrial development index; The sequence of power indicators to be screened is represented by A = {a1, a2, ..., a n }, the industrial development benchmark indicator sequence is expressed as B = {b1, b2, ..., b n }, then the time difference correlation coefficient calculation and the maximum time difference correlation coefficient are expressed as: Among them, r l represents the time difference correlation coefficient of the corresponding period; l represents the number of lead and lag periods; n l represents the number of aligned data; r is the maximum time difference correlation coefficient between the indicator sequence to be screened and the benchmark indicator sequence; L represents the maximum delay number.

4. The method for calculating the industrial development prosperity index based on electricity consumption according to claim 3, characterized in that: According to the size of the time difference correlation coefficient, the leading, coincident and lagging indicator groups are screened out, including: When the time difference correlation coefficient between any power index and industrial development index reaches a significant level, and If it reaches the maximum value during the positive time difference period, the power index is classified as a leading index; If the maximum value is reached at zero time difference period, the power index is classified as a consistent index; If the maximum value is reached during the negative time difference period, the power indicator is classified as a lagging indicator.

5. The method for calculating the industrial development prosperity index based on electricity consumption according to claim 4, characterized in that: The weight division of the three indicator groups based on electricity consumption is expressed as: Among them, w ij is the weight of the i-th indicator of the j-th group; H ij is the power consumption of the jth power indicator in the i-th indicator group; n i Represents the number of indicators in the i-th indicator group.

6. The method for calculating the industrial development prosperity index based on electricity consumption according to claim 5, characterized in that: The industrial development prosperity index is constructed through the composite index method, including: Calculate the symmetrical change rate C of each group of indicator data of the three groups of indicators ij , expressed as: C ij (t)=A ij (t)-A ij (t-1) Among them, i = 1, 2, 3 represent the leading group, the consistent group and the lagging group respectively; j is the number of indicators in each group; t = 1, 2, ..., n represents the corresponding time period; Based on the symmetric rate of change C ij Calculate the average change rate E of each group of indicators ij , expressed as: Among them, D ij is the standard rate of change, expressed as:

7. The method for calculating the industrial development prosperity index based on electricity consumption according to claim 6, characterized in that: The industrial development prosperity index is constructed by the composite index method, which also includes the weights of three indicator groups based on electricity consumption and the average change rate E ij Calculate the standardized mean rate of change F j , expressed as: By normalizing the average rate of change F j Calculate the industrial development prosperity index G i , expressed as: Among them, let the initial G i (1)=100.

8. A system using the method for calculating the industrial development prosperity index based on electricity consumption as claimed in claim 1, characterized in that: include: An acquisition module, used to acquire time series data of industry power indicators and industrial development indicators within a preset time period; The preprocessing and screening module is used to preprocess the acquired data and then screen all indicator types to obtain three indicator groups: leading, consistent and lagging. The three indicator groups are weighted based on power consumption to obtain corresponding weight values ​​of the three indicator groups. The composite calculation module is used to construct the industrial development prosperity index through the composite index method based on three types of indicator groups and their corresponding weight values.

9. An electronic device, comprising: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the method for calculating the industrial development prosperity index based on electricity consumption as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for calculating the industrial development prosperity index based on electricity consumption as described in any one of claims 1 to 7.

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