CN106971278B - Method and device for evaluating electric energy substitution implementation effect - Google Patents
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Abstract
According to the method and the device for evaluating the electric energy alternative implementation effect, the area to be evaluated of the electric energy alternative implementation effect is determined firstly, the area to be evaluated can be nationwide or can be the area of each province and city, and the individual requirements of users are met; secondly, preprocessing basic data of each electric energy substitution project according to a preset electric energy substitution implementation effect evaluation analysis model, analyzing the processed standard data by adopting a principal component analysis method to obtain scores and weights of each principal factor, calculating comprehensive evaluation scores of each field to be evaluated, determining electric energy substitution implementation effect ranking of each field to be evaluated according to the comprehensive evaluation scores, and helping electric energy substitution service managers to evaluate electric energy substitution implementation effects more accurately and rapidly and develop popularization services in a targeted manner.
Description
Technical Field
The invention relates to the field of evaluation of electric energy substitution implementation effects, in particular to a method and a device for evaluating electric energy substitution implementation effects.
Background
Electric energy substitution is an effective way to prevent and treat atmospheric pollution. The electric energy substitution is vigorously implemented in the terminal energy utilization link, the urban pollutant emission can be obviously reduced, the ecological environment is improved, the national power grid company puts forward an energy consumption concept that 'coal is replaced by electricity, oil is replaced by electricity, and clean electricity comes from a distance' in the action of preventing and treating the atmospheric pollution, and an electric energy substitution scheme is implemented in the middle 8 th month of 2013. The company obtains positive electric energy substitution effect by popularizing and applying electric energy substitution technologies such as heat pumps, electric heating, electric energy storage, agricultural electric irrigation, electric heating of ceramic kilns and trial application of electric automobiles. In order to better popularize the electric energy substitution projects in the future, the experience and rule of implementation of each electric energy substitution project need to be summarized, and the potential of regional electric energy substitution is judged, so that the electric energy substitution technology can be appropriately popularized according to the implementable space.
The electric energy service management platform has access to 1286 users of energy-consuming enterprises, covers 78 industries such as steel making, coking, transportation equipment manufacturing, railway equipment manufacturing, heavy industry, textile and product processing industry, electronic device manufacturing, steel calendering processing, bearing gear transmission and driving part manufacturing and the like, and accounts for about 76 percent of large-scale production enterprises. The current platform is integrated with an 11-interface system, collects power generation, power sale and power utilization data and national policy, economy, weather and other data of the national grid in nearly four years, becomes a macro-economic analysis service platform with the most comprehensive data types and the most extensive analysis dimension in the field of power economic analysis of national grid companies, provides power utilization analysis reports and power market analysis and prediction reports to company marketing units according to weeks and months, and supports analysis and strategic decision of power economy. But the existing platform can not realize the evaluation of the electric energy substitution implementation effect.
Disclosure of Invention
In view of the above, the invention provides an evaluation method and an evaluation device for an electric energy replacement implementation effect, which are used for constructing an electric energy replacement implementation effect evaluation analysis model and evaluating the electric energy replacement implementation effect of a plurality of to-be-evaluated fields in an area to be evaluated by adopting a scientific evaluation index system and an evaluation method.
The specific technical scheme is as follows:
a method for evaluating the effect of electric energy substitution implementation comprises the following steps:
determining a to-be-evaluated area of an electric energy substitution implementation effect, and determining a plurality of electric energy substitution projects in a plurality of to-be-evaluated fields in the to-be-evaluated area;
acquiring basic data of each electric energy substitution project;
preprocessing basic data of each electric energy substitution project according to a preset electric energy substitution implementation effect evaluation analysis model to obtain standard data of each preset evaluation index of each field to be evaluated;
extracting a plurality of main factors from each preset evaluation index according to standard data of each preset evaluation index of each to-be-evaluated field based on a principal component analysis method, and solving the score and the weight of each main factor;
and calculating the comprehensive evaluation score of each field to be evaluated according to the score and the weight of the main factor, and determining the ranking of the electric energy alternative implementation effect of each field to be evaluated according to the comprehensive evaluation score.
Preferably, the preprocessing the basic data of each electric energy substitution project according to a preset electric energy substitution implementation effect evaluation analysis model to obtain standard data of each preset evaluation index of each to-be-evaluated field includes:
determining a preset evaluation index according to the preset electric energy alternative implementation effect evaluation analysis model, wherein the preset evaluation index comprises: the number of projects, the substituted electric quantity, the contract capacity, the increased equipment capacity and the investment amount;
performing classified statistics on the basic data of each electric energy substitution project of each to-be-evaluated field according to each preset evaluation index to obtain statistical data of each preset evaluation index of each to-be-evaluated field;
and carrying out non-dimensionalization treatment on the statistical data by adopting a standardization method to obtain standard data of each preset evaluation index of each to-be-evaluated field.
Preferably, the extracting, based on the principal component analysis method, a plurality of principal factors from each preset evaluation index according to the standard data of each preset evaluation index of each to-be-evaluated field, and obtaining the score and the weight of each principal factor includes:
processing the standard data based on a principal component analysis method, and extracting a plurality of main factors by adopting a characteristic root method larger than 1 or a rubble slope method;
obtaining the percentage of the variance of the rotation square of each main factor according to an orthogonal rotation method with Kaiser standardization, and taking the percentage as the weight of the corresponding main factor;
and estimating the score coefficient of each preset evaluation index of each main factor by adopting a regression method, and calculating the score of each main factor of each to-be-evaluated field by combining the statistical data of each preset evaluation index of each to-be-evaluated field.
Preferably, the basic data is derived from an electric energy service management platform.
An evaluation device for evaluating an effect of alternative implementation of electric energy, comprising:
the system comprises a determining unit, a judging unit and a judging unit, wherein the determining unit is used for determining an area to be evaluated of an electric energy substitution implementation effect and determining a plurality of electric energy substitution projects in a plurality of fields to be evaluated in the area to be evaluated;
the acquisition unit is used for acquiring basic data of each electric energy substitution project;
the preprocessing unit is used for preprocessing the basic data of each electric energy substitution project according to a preset electric energy substitution implementation effect evaluation analysis model to obtain standard data of each preset evaluation index of each to-be-evaluated field;
the extraction unit is used for extracting a plurality of main factors from each preset evaluation index according to the standard data of each preset evaluation index of each to-be-evaluated field based on a principal component analysis method, and obtaining the score and the weight of each main factor;
and the calculating unit is used for calculating the comprehensive evaluation score of each field to be evaluated according to the score and the weight of the main factor, and determining the ranking of the electric energy alternative implementation effect of each field to be evaluated according to the comprehensive evaluation score.
Preferably, the pretreatment unit includes:
a determining subunit, configured to determine a preset evaluation index according to the preset electric energy replacement implementation effect evaluation analysis model, where the preset evaluation index includes: the number of projects, the substituted electric quantity, the contract capacity, the increased equipment capacity and the investment amount;
the statistical subunit is used for performing classified statistics on the basic data of each electric energy substitution project of each to-be-evaluated field according to each preset evaluation index to obtain statistical data of each preset evaluation index of each to-be-evaluated field;
and the processing subunit is used for carrying out non-dimensionalization processing on the statistical data by adopting a standardization method to obtain standard data of each preset evaluation index of each to-be-evaluated field.
Preferably, the extraction unit includes:
the extraction subunit is used for processing the standard data based on a principal component analysis method and extracting a plurality of main factors by adopting a characteristic root larger than 1 method or a rubble slope method;
the acquisition subunit is used for acquiring the percentage of the variance of the rotation square of each main factor according to an orthogonal rotation method with Kaiser standardization, and taking the percentage as the weight of the corresponding main factor;
and the calculating subunit is configured to estimate, by using a regression method, a score coefficient of each preset evaluation index of each main factor, and calculate, by combining statistical data of each preset evaluation index of each to-be-evaluated field, a score of each main factor of each to-be-evaluated field.
Preferably, the basic data is derived from an electric energy service management platform.
Compared with the prior art, the invention has the following beneficial effects:
according to the method and the device for evaluating the electric energy alternative implementation effect, the area to be evaluated of the electric energy alternative implementation effect is determined firstly, the area to be evaluated can be nationwide or can be the area of each province and city, and the individual requirements of users are met; secondly, preprocessing basic data of each electric energy substitution project according to a preset electric energy substitution implementation effect evaluation analysis model, analyzing the processed standard data by adopting a principal component analysis method to obtain scores and weights of each principal factor, calculating comprehensive evaluation scores of each field to be evaluated, determining electric energy substitution implementation effect ranking of each field to be evaluated according to the comprehensive evaluation scores, and helping electric energy substitution service managers to evaluate electric energy substitution implementation effects more accurately and rapidly and develop popularization services in a targeted manner.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flowchart of a method for evaluating an electric energy replacement effect according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for evaluating an electric energy replacement effect according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for evaluating an electric energy replacement effect according to an embodiment of the present invention;
FIG. 4 is a graph of factored rocks according to the teachings of the present invention;
FIG. 5 is a schematic structural diagram of an apparatus for evaluating an electric energy replacement effect according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an evaluation apparatus for electric energy replacement implementation effect according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present embodiment discloses a method for evaluating an electric energy replacement effect, which specifically includes the following steps:
s101: determining a to-be-evaluated area of an electric energy substitution implementation effect, and determining a plurality of electric energy substitution projects in a plurality of to-be-evaluated fields in the to-be-evaluated area;
the electric energy is replaced by the electric energy for consuming at the terminal by replacing primary energy, and the electric energy is used for replacing coal, oil and the like.
The user can determine the area to be evaluated according to actual needs, where the area to be evaluated is a geographic area, and may be nationwide, or may be regional areas of each province and city, for example: the area to be evaluated is Hebei province.
The electric energy substitution implementation effect of a plurality of fields to be evaluated can be evaluated in the area to be evaluated, and the fields to be evaluated can be a heat pump technology, a distributed electric heating technology and an electric boiler technology in the resident heating field.
S102: acquiring basic data of each electric energy substitution project;
specifically, the basic data is derived from an electric energy service management platform. The basic data of each electric energy substitution project comprises: replacing electric quantity, contract capacity, increasing equipment capacity and investment amount, etc.
S103: preprocessing basic data of each electric energy substitution project according to a preset electric energy substitution implementation effect evaluation analysis model to obtain standard data of each preset evaluation index of each field to be evaluated;
s104: extracting a plurality of main factors from each preset evaluation index according to standard data of each preset evaluation index of each to-be-evaluated field based on a principal component analysis method, and solving the score and the weight of each main factor;
s105: and calculating the comprehensive evaluation score of each field to be evaluated according to the score and the weight of the main factor, and determining the ranking of the electric energy alternative implementation effect of each field to be evaluated according to the comprehensive evaluation score.
Referring to fig. 2, in the method for evaluating the electric energy replacement effect, one specific implementation process selectable in step S103 is as follows:
s201: determining a preset evaluation index according to the preset electric energy alternative implementation effect evaluation analysis model, wherein the preset evaluation index comprises: the number of projects, the substituted electric quantity, the contract capacity, the increased equipment capacity and the investment amount;
s202: performing classified statistics on the basic data of each electric energy substitution project of each to-be-evaluated field according to each preset evaluation index to obtain statistical data of each preset evaluation index of each to-be-evaluated field;
s203: and carrying out non-dimensionalization treatment on the statistical data by adopting a standardization method to obtain standard data of each preset evaluation index of each to-be-evaluated field.
In the statistical data obtained as described above, since the data dimensions of the various data are not uniform, it is necessary to perform non-dimensionalization processing on the statistical data by a normalization method.
Referring to fig. 3, in the method for evaluating the implementation effect of electric energy replacement, an optional execution process of step S104 is as follows:
s301: processing the standard data based on a principal component analysis method, and extracting a plurality of main factors by adopting a characteristic root method larger than 1 or a rubble slope method;
s302: obtaining the percentage of the variance of the rotation square of each main factor according to an orthogonal rotation method with Kaiser standardization, and taking the percentage as the weight of the corresponding main factor;
s303: and estimating the score coefficient of each preset evaluation index of each main factor by adopting a regression method, and calculating the score of each main factor of each to-be-evaluated field by combining the statistical data of each preset evaluation index of each to-be-evaluated field.
The evaluation method for the electric energy alternative implementation effect disclosed in the embodiment is specifically explained by taking the evaluation of the electric energy alternative implementation effect in the heating field of residents in the provinces of Hebei as an example.
The statistical data of each preset evaluation index in various technical fields is obtained after the basic data of various technical fields in the heating field of residents in the provinces of Hebei are counted, and the statistical data is shown in the table 1:
TABLE 1 statistical data of electric energy substitution implementation effect evaluation in the heating field of residents in Hebei province
The statistical data is subjected to dimensionless processing by adopting a standardization method, and standard data of each preset evaluation index is obtained as shown in table 2:
TABLE 2 data pretreatment results
The statistical data after the preprocessing is processed by SPSS software according to the principal component analysis procedure, and the processing result in fig. 4 is obtained.
Referring to fig. 4, fig. 4 is a factor lithograph with the abscissa representing the number of factors and the ordinate representing the feature root. It can be seen that the characteristic root value of the 1 st factor is very high, and the contribution to the explanation of the original variable is the largest; the factor characteristic root values of the 3 rd and later factors are small, the contribution to explaining original variables is small, and the factor characteristic root values become 'mountain footage rubble' which can be ignored, so that the number of the principal components is determined to be 2.
Table 3 is a case where the factor explains the total variance of the original variables. Set 1 of data items (second to fourth columns) describes the case of the initial factor solution. It can be seen that the characteristic root value of the 1 st factor is 4.089, which explains 81.777% of the total variance of the original variables, and the cumulative variance contribution rate is 81.777%; the characteristic root of the 2 nd factor is 0.911, explaining 18.223% of the total variance of the original variables, and the cumulative variance contribution rate is 100%. The rest of the data are similar. The total variance of the original variables is accounted for. The second set of data items (fifth to seventh columns) describes the case of a factorial solution. It can be seen that since two factors are specified to be extracted, the two factors together account for 100% of the total variance of the original variables. In general, the information loss of the original variable is less, and the factor analysis effect is ideal. The third set of data items (eighth column to tenth column) describes the case of the final factor solution. It can be seen that after the factors are rotated, the variance of each factor for explaining the original variable is redistributed, the variance contribution of each factor is changed, and the factors are easier to explain.
TABLE 3 factor explains the situation of the total variance of the original variables
The factor analysis model of this analysis is written according to the table:
number of items 0.165f1-0.986f2
Substituted electric quantity is-0.944 f1-0.331f2
Contract capacity of 0.986f1+0.166f2
Increase of equipment capacity to 1.000f1-0.003f2
The investment amount is 0.923f1+0.384f2
According to the orthogonal rotation method with Kaiser normalization, the rotation converges after 3 iterations. The data are analyzed to obtain the factor rotation load matrix of table 4.
TABLE 4 factor rotational load matrix
As can be seen from table 4, the number of items, the amount of electricity to be replaced, the contract capacity, the increased equipment capacity and the investment amount are higher in the 1 st factor, and the 1 st factor mainly explains these five variables.
The factor score coefficients were estimated using regression methods and the output factor score coefficients are shown in table 5:
TABLE 5 factor score coefficient matrix
The following factor score function can be written according to table 5:
f1the number of-0.207 items-0.230 replacement electric quantity +0.289 contract capacity +0.338 increased equipment capacity +0.210 investment amount
f20.947 item number-0.082 alternative electricity-0.095 contract capacity-0.269 increased equipment capacity +0.140 investment money
And finally, performing comprehensive score ranking on the implementation effects of the electric energy substitution projects in the heating field of residents in the provinces of Hebei, wherein the results are shown in the table 6:
table 6 comprehensive ranking table for electric energy substitution in heating field of residents in north and river provinces
| Electric energy substitution classification | Synthesis of | Ranking |
| Heat pump technology | 100.00 | 1 |
| Decentralized electric heating technology | 99.68 | 2 |
| Electric boiler technology | 97.16 | 3 |
According to the method and the device for evaluating the electric energy alternative implementation effect, firstly, the region to be evaluated of the electric energy alternative implementation effect is determined, the region to be evaluated can be nationwide or can be the region of each province and city, and the individual requirements of users are met; secondly, preprocessing basic data of each electric energy substitution project according to a preset electric energy substitution implementation effect evaluation analysis model, analyzing the processed standard data by adopting a principal component analysis method to obtain scores and weights of each principal factor, calculating comprehensive evaluation scores of each field to be evaluated, determining electric energy substitution implementation effect ranking of each field to be evaluated according to the comprehensive evaluation scores, and helping electric energy substitution service managers to evaluate electric energy substitution implementation effects more accurately and rapidly and develop popularization services in a targeted manner.
Based on the method for evaluating the electric energy alternative implementation effect disclosed in the above embodiment, referring to fig. 5, this embodiment correspondingly discloses an apparatus for evaluating the electric energy alternative implementation effect, which specifically includes:
the system comprises a determining unit 101, a calculating unit and a calculating unit, wherein the determining unit is used for determining an area to be evaluated of an electric energy substitution implementation effect and determining a plurality of electric energy substitution projects in a plurality of areas to be evaluated in the area to be evaluated;
the obtaining unit 102 is configured to obtain basic data of each electric energy replacement project;
the preprocessing unit 103 is configured to preprocess the basic data of each electric energy substitution item according to a preset electric energy substitution implementation effect evaluation analysis model, and obtain standard data of each preset evaluation index of each to-be-evaluated field;
an extracting unit 104, configured to extract, based on a principal component analysis method, a plurality of principal factors from each preset evaluation index according to standard data of each preset evaluation index of each to-be-evaluated field, and obtain a score and a weight of each principal factor;
and the calculating unit 105 is configured to calculate a comprehensive evaluation score of each to-be-evaluated field according to the score and the weight of the main factor, and determine an electric energy alternative implementation effect ranking of each to-be-evaluated field according to the comprehensive evaluation score.
Referring to fig. 6, the preprocessing unit 103 includes:
a determining subunit 106, configured to determine a preset evaluation index according to the preset electric energy alternative implementation effect evaluation analysis model, where the preset evaluation index includes: the number of projects, the substituted electric quantity, the contract capacity, the increased equipment capacity and the investment amount;
the statistics subunit 107 is configured to perform classification statistics on the basic data of each electric energy replacement item in each to-be-evaluated field according to each preset evaluation index to obtain statistical data of each preset evaluation index in each to-be-evaluated field;
and the processing subunit 108 is configured to perform non-dimensionalization processing on the statistical data by using a normalization method to obtain standard data of each preset evaluation index of each to-be-evaluated field.
The extraction unit 104 includes:
an extraction subunit 109, configured to process the standard data based on a principal component analysis method, and extract multiple principal factors by using a characteristic root greater than 1 method or a rubble slope method;
an obtaining subunit 110, configured to obtain, according to an orthogonal rotation method with Kaiser normalization, a percentage of a variance of a rotation square of each of the main factors, and use the percentage as a weight of a corresponding main factor;
and the calculating subunit 111 is configured to estimate, by using a regression method, a score coefficient of each preset evaluation index of each main factor, and calculate, by combining statistical data of each preset evaluation index of each to-be-evaluated field, a score of each main factor of each to-be-evaluated field.
According to the evaluation device for the electric energy substitution implementation effect, after a user determines an area to be evaluated of the electric energy substitution implementation effect and a plurality of electric energy substitution items in the area to be evaluated, and inputs the electric energy substitution implementation effect evaluation device, the device automatically analyzes input data according to a preset electric energy substitution implementation effect evaluation analysis model and outputs comprehensive scores and ranking of the electric energy substitution implementation effects of the areas to be evaluated, the evaluation analysis method is objective and scientific, evaluation results can be quantized, electric energy substitution service managers can be helped to evaluate the electric energy substitution implementation effect more accurately and rapidly, and targeted popularization services are developed.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for evaluating the effect of electric energy substitution implementation is characterized by comprising the following steps:
determining a to-be-evaluated area of an electric energy substitution implementation effect, and determining a plurality of electric energy substitution projects in a plurality of to-be-evaluated fields in the to-be-evaluated area;
acquiring basic data of each electric energy substitution project, wherein the basic data of each electric energy substitution project comprises: replacing the electric quantity, contract capacity, increasing equipment capacity and investment money;
according to a preset electric energy substitution implementation effect evaluation analysis model, preprocessing including non-dimensionalization processing is carried out on the basic data of each electric energy substitution project to obtain standard data of each preset evaluation index of each to-be-evaluated field;
extracting a plurality of main factors from each preset evaluation index according to standard data of each preset evaluation index of each to-be-evaluated field based on a principal component analysis method, and solving the score and the weight of each main factor;
and calculating the comprehensive evaluation score of each field to be evaluated according to the score and the weight of the main factor, and determining the ranking of the electric energy alternative implementation effect of each field to be evaluated according to the comprehensive evaluation score.
2. The method according to claim 1, wherein the pre-processing, including non-dimensionalization, is performed on the basic data of each electric energy replacement project according to a preset electric energy replacement implementation effect evaluation analysis model to obtain standard data of each preset evaluation index of each to-be-evaluated field, and the method comprises the following steps:
determining a preset evaluation index according to the preset electric energy alternative implementation effect evaluation analysis model, wherein the preset evaluation index comprises: the number of projects, the substituted electric quantity, the contract capacity, the increased equipment capacity and the investment amount;
performing classified statistics on the basic data of each electric energy substitution project of each to-be-evaluated field according to each preset evaluation index to obtain statistical data of each preset evaluation index of each to-be-evaluated field;
and carrying out non-dimensionalization treatment on the statistical data by adopting a standardization method to obtain standard data of each preset evaluation index of each to-be-evaluated field.
3. The method according to claim 1, wherein the extracting a plurality of main factors from each preset evaluation index according to the standard data of each preset evaluation index of each to-be-evaluated field based on the principal component analysis method, and obtaining the score and the weight of each main factor comprises:
processing the standard data based on a principal component analysis method, and extracting a plurality of main factors by adopting a characteristic root method larger than 1 or a rubble slope method;
obtaining the percentage of the variance of the rotation square of each main factor according to an orthogonal rotation method with Kaiser standardization, and taking the percentage as the weight of the corresponding main factor;
and estimating the score coefficient of each preset evaluation index of each main factor by adopting a regression method, and calculating the score of each main factor of each to-be-evaluated field by combining the statistical data of each preset evaluation index of each to-be-evaluated field.
4. The method of claim 1, wherein the base data is derived from an electrical energy service management platform.
5. An apparatus for evaluating an effect of alternative implementation of electric energy, comprising:
the system comprises a determining unit, a judging unit and a judging unit, wherein the determining unit is used for determining an area to be evaluated of an electric energy substitution implementation effect and determining a plurality of electric energy substitution projects in a plurality of fields to be evaluated in the area to be evaluated;
the acquisition unit is used for acquiring basic data of each electric energy substitution project, and the basic data of each electric energy substitution project comprises: replacing the electric quantity, contract capacity, increasing equipment capacity and investment money;
the preprocessing unit is used for preprocessing the basic data of each electric energy substitution project including non-dimensionalization processing according to a preset electric energy substitution implementation effect evaluation analysis model to obtain standard data of each preset evaluation index of each field to be evaluated;
the extraction unit is used for extracting a plurality of main factors from each preset evaluation index according to the standard data of each preset evaluation index of each to-be-evaluated field based on a principal component analysis method, and obtaining the score and the weight of each main factor;
and the calculating unit is used for calculating the comprehensive evaluation score of each field to be evaluated according to the score and the weight of the main factor, and determining the ranking of the electric energy alternative implementation effect of each field to be evaluated according to the comprehensive evaluation score.
6. The apparatus of claim 5, wherein the pre-processing unit comprises:
a determining subunit, configured to determine a preset evaluation index according to the preset electric energy replacement implementation effect evaluation analysis model, where the preset evaluation index includes: the number of projects, the substituted electric quantity, the contract capacity, the increased equipment capacity and the investment amount;
the statistical subunit is used for performing classified statistics on the basic data of each electric energy substitution project of each to-be-evaluated field according to each preset evaluation index to obtain statistical data of each preset evaluation index of each to-be-evaluated field;
and the processing subunit is used for carrying out non-dimensionalization processing on the statistical data by adopting a standardization method to obtain standard data of each preset evaluation index of each to-be-evaluated field.
7. The apparatus of claim 5, wherein the extraction unit comprises:
the extraction subunit is used for processing the standard data based on a principal component analysis method and extracting a plurality of main factors by adopting a characteristic root larger than 1 method or a rubble slope method;
the acquisition subunit is used for acquiring the percentage of the variance of the rotation square of each main factor according to an orthogonal rotation method with Kaiser standardization, and taking the percentage as the weight of the corresponding main factor;
and the calculating subunit is configured to estimate, by using a regression method, a score coefficient of each preset evaluation index of each main factor, and calculate, by combining statistical data of each preset evaluation index of each to-be-evaluated field, a score of each main factor of each to-be-evaluated field.
8. The apparatus of claim 5, wherein the base data is derived from an electrical energy service management platform.
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