CN117575343A - Method and system for evaluating comprehensive energy service performance of villages and towns - Google Patents

Method and system for evaluating comprehensive energy service performance of villages and towns Download PDF

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CN117575343A
CN117575343A CN202311410585.XA CN202311410585A CN117575343A CN 117575343 A CN117575343 A CN 117575343A CN 202311410585 A CN202311410585 A CN 202311410585A CN 117575343 A CN117575343 A CN 117575343A
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service
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吴彬锋
葛梦亮
章寒冰
李中庆
邱琪珊
应彩霞
姜星磊
范蔚
吴继亮
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Lishui Qiaomei Electric Power Industry Group Co ltd
Science And Technology Network Branch Of Lishui Electric Power Industry Group Co ltd
Lishui Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Qingyuan Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Lishui Qiaomei Electric Power Industry Group Co ltd
Science And Technology Network Branch Of Lishui Electric Power Industry Group Co ltd
Lishui Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
Qingyuan Power Supply Co of State Grid Zhejiang Electric Power Co Ltd
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Priority to CN202311410585.XA priority Critical patent/CN117575343A/en
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Abstract

The invention discloses a village and town comprehensive energy service success evaluation method and system, wherein the method comprises the following steps: step one: selecting a service evaluation index of a village and town comprehensive energy system based on village and town energy demand analysis data and village and town energy supply planning data; step two: based on village and town energy demand response strategies and energy facility construction data, an energy data monitoring and management system is built, and a relation between energy service evaluation data and benefit evaluation weights is built; step three: and constructing an evaluation model of the energy data monitoring and managing system according to the service evaluation indexes and the relation, and outputting evaluation results of different scenes. According to the method, the comprehensive service effect is evaluated in multiple dimensions from the energy efficiency index, the economic index and the environmental evaluation index, different evaluation results are obtained according to different scenes, and the method has pertinence and is suitable for evaluation of a comprehensive energy service mode; in addition, resources of villages and towns are reasonably allocated through building basic energy facilities, and the utilization rate of the resources is improved while the energy requirements of the villages and towns are met.

Description

Method and system for evaluating comprehensive energy service performance of villages and towns
Technical Field
The invention relates to the technical field of electric energy resource allocation, in particular to a method and a system for evaluating the effect of comprehensive energy service of villages and towns.
Background
The comprehensive resource allocation realizes resource saving of the demander by a regulation and control means, is regarded as a virtual resource participating allocation, and can scientifically utilize resources, control environmental quality and reduce cost investment. The demand response is an important means for implementing resource allocation in the field of electric power energy, and comprehensive energy users can save energy by optimizing energy use modes and improving energy efficiency aiming at specific energy prices and excitation signals, so that the adjustment capability of supply and demand balance is improved, the energy investment cost is further reduced, energy conservation and emission reduction are realized, and the energy reliability is enhanced.
At present, comprehensive energy service-oriented research is mainly focused on the aspects of device and system research and development, and the deployment of project engineering is mainly promoted. Part of the research relates to a resource allocation model of comprehensive energy, but the model and the solving process are too complicated and the solving difficulty is high. From an engineering perspective, such studies are not conducive to rapid application by practical grid managers. Existing research has combined comprehensive energy applications with demand response services to a relatively small extent.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for evaluating the comprehensive energy service effect of villages and towns, which is beneficial to solving the problem of low utilization rate of resources in the conventional villages and towns.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a method for evaluating the effect of comprehensive energy service of villages and towns comprises the following steps,
step one: selecting service evaluation indexes of a village and town comprehensive energy system based on the acquired village and town energy demand analysis data and village and town energy supply planning data; wherein the service evaluation index comprises an energy efficiency index, an economic index and an environment evaluation index;
step two: based on a preset village and town energy demand response strategy and energy facility construction data, constructing an energy data monitoring and management system, and establishing a relation between energy service evaluation data and benefit evaluation weight;
step three: and constructing an evaluation model of the energy data monitoring and managing system according to the service evaluation indexes and the relational expression, and outputting evaluation results corresponding to different scenes.
Preferably, the village energy demand analysis data comprise village energy endowment and load demand, energy consumption data of departments and residents in the villages and towns, population and economic development analysis data and renewable energy potential evaluation data; the village and town energy supply planning data at least comprises energy supply diversification data, energy supply safety and reliability data and energy supply planning integration data.
The analysis model for the energy consumption data of each department and resident in the villages and towns is as follows:
the energy consumption analysis involves the following formula:
energy consumption rate ecr=e/T;
energy consumption increase rate egr= (E 2 -E 1 )/E 1
Wherein E is the energy consumption, T is the total energy used by villages and towns, E 1 E is the current energy consumption 2 Is the energy consumption in the upper period;
the analysis model for the village and town energy supply planning data is as follows:
renewable energy resource assessment rea=f
Renewable energy supply amount calculation res=re×u.
Wherein f is renewable energy potential, RE is renewable energy resource amount, and U is utilization rate.
Preferably, the town energy demand response strategy is designed from energy consumption optimization, energy load management, and renewable energy utilization aspects.
Preferably, the energy facility construction data includes renewable energy facility construction data, energy storage facility construction data, and network upgrade and intellectualization data.
Preferably, the energy data monitoring and management system performs data monitoring and management from the aspects of real-time data acquisition and monitoring, data analysis and prediction and data sharing and coordination.
Preferably, the method further comprises: the effect of the comprehensive energy service mode is monitored and evaluated regularly, problems and potential improvement spaces can be found through monitoring and evaluation, and corresponding measures are adopted for adjustment and optimization so as to achieve the sustainable energy development goal of villages and towns.
A system for evaluating the effect of comprehensive energy service of villages and towns comprises the following modules,
the energy data management and analysis module is used for selecting service evaluation indexes of the village and town comprehensive energy system based on the acquired village and town energy demand analysis data and village and town energy supply planning data; wherein the service evaluation index comprises an energy efficiency index, an economic index and an environment evaluation index;
the energy demand response and construction module is used for constructing an energy data monitoring and management system based on a preset village and town energy demand response strategy and energy facility construction data, and establishing a relation between energy service evaluation data and benefit evaluation weight;
and the energy system monitoring and evaluating module is used for constructing an evaluating model of the energy data monitoring and managing system according to the service evaluating indexes and the relational expression and outputting evaluating results corresponding to different scenes.
The invention provides a method and a system for evaluating the success of comprehensive energy services of villages and towns. The beneficial effects are as follows:
1. the method can comprehensively evaluate the service results from the multi-dimension evaluation of the energy efficiency index, the economic index and the environmental evaluation index, and obtain different evaluation results according to different application scenes, and is targeted and suitable for evaluating the comprehensive energy service mode.
2. The invention analyzes and records the energy of the villages and towns to know the energy constitution of the villages and towns, and constructs basic energy facilities, designs and supervises the energy frameworks of the villages and towns to reasonably distribute the resources of the villages and towns, thereby meeting the energy requirements of the villages and towns and improving the utilization rate of the resources.
3. According to the invention, through the description of the equipment mathematical model, the scheduling mode of various resources is rapidly planned by utilizing the mixed non-integer linear programming, and the power grid manager is assisted to realize park-level demand response resource allocation in the comprehensive energy service mode.
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FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples:
referring to fig. 1, an embodiment of the present invention provides a method for evaluating the performance of a comprehensive energy service in villages and towns, comprising the following steps,
step one, selecting service evaluation indexes of a village and town comprehensive energy system based on acquired village and town energy demand analysis data and village and town energy supply planning data; wherein the service evaluation index comprises an energy efficiency index, an economic index and an environment evaluation index
The method comprises the steps of analyzing the energy demands of villages and towns, and knowing the energy consumption condition of the region through analyzing the energy demands of the villages and towns; the analysis can be performed specifically from the aspects of collecting energy consumption data, population and economic development analysis and renewable energy potential evaluation of various departments and residents in villages and towns.
The energy consumption analysis involves the following formula:
energy consumption rate ecr=energy consumption E/total energy T for town
Energy consumption increase rate egr= (current energy consumption E 2 Upper energy consumption E 1 ) Energy consumption E in the upper stage 1
And collecting energy consumption data of departments and residents in the villages and towns, wherein the energy consumption data comprises electric power, fuel, heat energy and the like, and electricity load data of different periods. The whole condition of energy demand is known by using the existing energy consumption data and statistical analysis method;
and analyzing population and economic development, and analyzing the influence trend of the population and economic development on the energy demand by considering factors such as population growth rate, industrial development, commercial activity and the like of villages and towns. Meanwhile, special activities and seasonal demand changes, such as energy consumption difference in cold and warm seasons, are considered;
the energy demand prediction involves the following formula:
energy demand forecast ed=f (historical energy demand data, demographics data, economic development data, energy usage inventory data, etc.)
And (3) evaluating renewable energy potential, namely evaluating renewable energy resources including solar energy, wind energy, water energy and the like of villages and towns, and determining feasibility and applicability of the renewable energy resources in meeting energy requirements.
In this embodiment, a plan for energy supply of the villages and towns is formulated, so as to ensure that the villages and towns can meet energy demands thereof, and by formulating the plan, development of energy supply can be planned and scheduled in advance so as to meet the energy demands of the villages and towns; planning is carried out specifically from the aspects of energy supply diversification, supply safety and reliability and energy planning integration;
the energy supply planning involves the formula:
renewable energy resource assessment REA=f (solar potential, wind potential, water potential, etc.)
Renewable energy supply amount calculation res=renewable energy resource amount RE x utilization ratio U
The energy supply is diversified, the utilization of traditional energy and renewable energy is comprehensively considered, and the diversification strategy of the energy supply plan is formulated so as to meet the energy demands of different departments and residents in villages and towns.
And (3) supplying safety and reliability, and making a backup and reserve strategy of supply planning according to the safety and reliability requirements of energy supply so as to cope with the energy supply problems when emergency and faults occur.
The energy planning integration integrates the energy supply of villages and towns and the energy planning of surrounding areas or countries, and energy interconnection and inter-communication and cross-regional scheduling are considered to optimize the configuration and utilization efficiency of energy.
Step two, based on a preset village and town energy demand response strategy and energy facility construction data, constructing an energy data monitoring and management system, and establishing a relation between energy service evaluation data and benefit evaluation weight;
the method is characterized in that a village and town demand response strategy is designed, so that the energy utilization efficiency is improved, challenges in the case of energy demand peaks are met, measures are taken to encourage village and town residents, enterprises and institutions to implement energy-saving measures and flexible management in the aspect of energy use; designing a demand response strategy in particular from the aspects of energy consumption optimization, energy load management and renewable energy utilization;
demand response strategy design:
peak electricity usage period identifies ph=f (power load curve, electricity usage habit, etc.)
Energy demand response rate dr=energy demand reduction ED/peak electricity consumption period energy demand PH
Energy consumption optimization, namely encouraging village and town residents and enterprises to reduce energy consumption by implementing energy efficiency measures, intelligent energy management systems and popularization of energy-saving equipment so as to reduce dependence on traditional energy;
energy load management, namely establishing an energy demand response mechanism of villages and towns, wherein the energy demand response mechanism comprises a time-of-use electricity price policy, an energy demand response platform, a user participation plan and the like so as to balance supply and demand relations and reduce energy demands in peak time periods;
renewable energy sources are utilized, the utilization of renewable energy sources in villages and towns is promoted, residents and enterprises are encouraged to adopt clean energy sources such as solar power generation, wind power generation and the like, and therefore the requirements on traditional energy sources are reduced.
The energy facility construction is carried out based on a demand response strategy, and the purpose is to construct energy facilities according to the demand response strategy of villages and towns, newly build or upgrade power stations, distribution networks, gas pipelines, heating and ventilation equipment and the like so as to meet the energy demand of the villages and towns, and the reliability and the sustainability of energy supply can be ensured through reasonable energy facility construction so as to meet the energy demand of the villages and towns; the energy construction is specifically carried out through renewable energy resource facility construction, energy storage facility construction, network upgrading and intelligent aspects;
and (3) energy facility construction assessment:
calculation of installed capacity of power generation facility lsc=total energy used by villages and towns T/power generation facility utilization GCU
Energy storage facility capacity calculation esc=peak electricity use period energy demand PH x energy storage time ES
Constructing renewable energy facilities, and planning and constructing related facilities such as solar panels, wind generators and hydroelectric generators according to renewable energy potential evaluation results of villages and towns so as to increase the supply proportion of renewable energy sources;
the energy storage facilities are built, and an energy storage system is built, wherein the energy storage system comprises a battery energy storage facility, a heat storage device, a hydrogen energy storage facility and the like, so that the balance of storage and supply of renewable energy sources is realized;
network upgrading and intellectualization, optimizing energy infrastructure including electric power transmission and distribution network, energy data communication facilities, intelligent metering system, etc. to support coordination and management of energy supply and demand.
An energy data monitoring and managing system is established and is used for tracking, monitoring and managing the energy consumption and supply conditions of villages and towns in real time; decision support and energy utilization optimization are provided through a data visualization and reporting mode, and the energy conditions of villages and towns are mastered in time, so that a foundation is provided for subsequent energy management and optimization; the data monitoring and management is particularly carried out from the aspects of real-time data acquisition and monitoring, data analysis and prediction, data sharing and coordination and the like;
system monitoring and evaluation:
energy consumption reduction rate ecr= (upper energy consumption E1-current energy consumption E2)/upper energy consumption E1
Energy utilization ratio eur=actual energy supply amount a/energy demand amount ED
The method comprises the steps of collecting and monitoring real-time data, introducing a sensor and a monitoring device, and collecting related data such as energy consumption, supply, load and the like in real time so as to realize the monitoring and management of an energy system;
analyzing and predicting the data, and analyzing and predicting the energy demand, supply and load by utilizing a data analysis technology and a prediction model so as to optimize the energy scheduling and supply plan;
and the data sharing and the coordination are carried out, an energy data sharing platform is established, the data sharing and the coordination work among different sub-modules are promoted, and the efficiency and the effect of the comprehensive energy service mode are improved.
As an example, energy service support and promotion is provided to provide energy service support and promotion to encourage village and town residents, enterprises and institutions to take energy saving measures and sustainable energy solutions to improve public awareness and understanding of energy problems, and to motivate residents to participate in energy saving actions; service support and promotion are performed in particular in terms of technical support and training, promotion and promotion activities and policy advocations and financial support,
technical support and training, and technical support and training about energy management and energy saving measures are provided for residents and enterprises in villages and towns, so that the energy utilization efficiency is improved;
propaganda and popularization activities, organizing energy conservation and renewable energy propaganda activities, and improving cognition and participation of residents and enterprises on comprehensive energy service modes;
policy advocations and financial support, corresponding policies are formulated to encourage and support the adoption of renewable energy and energy conservation measures by village and town residents and enterprises, and financial support and incentive measures are provided.
And thirdly, constructing an evaluation model of the energy data monitoring and managing system according to the service evaluation indexes and the relational expression, and outputting evaluation results corresponding to different scenes.
The effect of the comprehensive energy service mode is monitored and evaluated regularly, problems and potential improvement spaces can be found through monitoring and evaluation, and corresponding measures are adopted for adjustment and optimization so as to achieve the sustainable energy development goal of villages and towns. The energy service detection and assessment can be performed specifically from the aspects of performance assessment and index monitoring, user satisfaction investigation, effect analysis and optimization.
Performance evaluation and index monitoring, making proper performance evaluation indexes, and monitoring the change conditions of key indexes such as energy efficiency improvement, renewable energy utilization ratio increase and the like.
And (3) user satisfaction survey, wherein the user satisfaction survey is periodically carried out, the satisfaction degree and the demand of residents and enterprises on the comprehensive energy service mode are known, and corresponding measures are timely adjusted and improved.
And in the aspect of effect analysis and optimization, analyzing the periodic monitoring data and the evaluation result, evaluating the effect of the comprehensive energy service mode, and optimizing and improving according to the analysis result.
A village and town comprehensive energy service success evaluation system comprises:
the energy data management and analysis module is used for selecting service evaluation indexes of the village and town comprehensive energy system based on the acquired village and town energy demand analysis data and village and town energy supply planning data; wherein the service evaluation index comprises an energy efficiency index, an economic index and an environment evaluation index;
the energy demand response and construction module is used for constructing an energy data monitoring and management system based on a preset village and town energy demand response strategy and energy facility construction data, and establishing a relation between energy service evaluation data and benefit evaluation weight;
and the energy system monitoring and evaluating module is used for constructing an evaluating model of the energy data monitoring and managing system according to the service evaluating indexes and the relational expression and outputting evaluating results corresponding to different scenes.
As a specific example, the evaluation system implements the corresponding functions by:
and the energy data management and analysis module is used for: data such as energy consumption, renewable energy supply, electric market price and the like of villages and towns are collected and monitored in real time, and a database is built, and the data are stored and managed, so that a foundation is provided for subsequent analysis and decision support; including real-time data collection and monitoring: including real-time collection and monitoring of data such as rural energy consumption, renewable energy supply, and electricity market price.
And storing and managing the collected energy data, and establishing a database for subsequent analysis and decision support. In addition, by analyzing historical energy consumption data of villages and towns, time change trend and characteristics of energy demands are known, so that energy demand information of residents and enterprises is obtained, and the energy demand conditions of the villages and towns are further comprehensively analyzed; and analyzing the historical energy consumption data of villages and towns to know the time change trend and the characteristics of the energy demand.
Demand survey and questionnaire: and acquiring energy demand information of village and town residents and enterprises through questionnaires, demographic data and the like.
The energy supply technology is selected: according to the renewable energy resource evaluation result, the electric power market situation and the like, an energy supply technology suitable for villages and towns is selected, such as photovoltaic power generation, wind power generation and the like.
And an energy demand response and construction module: and determining the peak electricity utilization period of villages and towns through data analysis and energy demand pattern recognition. Then, according to the peak electricity consumption time and the energy allocation requirement, a village and town demand response strategy is formulated so as to encourage residents and enterprises to reduce energy consumption in the peak time; also included is peak electricity usage period identification: and determining the peak electricity utilization period of villages and towns through data analysis and energy demand pattern recognition.
And (3) formulating a demand response strategy: and formulating a demand response strategy of villages and towns according to the peak electricity consumption time and the energy allocation demand so as to encourage residents and enterprises to reduce energy consumption in the peak time.
In addition, the system is used for meeting the energy demand of villages and towns and reducing the dependence on the traditional energy according to the energy supply planning result and the demand response strategy; the method comprises the steps of constructing a new energy power station: according to the energy supply planning result and the demand response strategy, a new renewable energy power station is built, such as a photovoltaic power station, a wind power station and the like, and an energy storage facility is built: energy storage facilities capable of storing surplus energy are constructed so as to release energy during peak hours or during unstable supply.
The energy system monitoring and evaluating module: the method for monitoring and evaluating the effect of the comprehensive energy service mode in villages and towns through real-time data and indexes, and improving and optimizing the resource allocation method according to the monitoring and evaluating results so as to improve the effect and sustainability of the comprehensive energy service, comprises the following steps: and (3) monitoring comprehensive energy service effects: the effect of the comprehensive energy service mode in villages and towns is monitored and evaluated through real-time data and indexes, and the effects comprise the aspects of energy consumption reduction, resource utilization rate improvement and the like.
Method improvement and optimization: improving and optimizing the resource allocation method according to the monitoring and evaluation results to improve the effect and sustainability of the comprehensive energy service,
decision support and visualization module: and providing decision support and recommendation according to the data analysis and simulation results, and visualizing the results so as to enable decision makers and related personnel to make understanding and reasonable decisions.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. The method for evaluating the comprehensive energy service performance of the villages and towns is characterized by comprising the following steps of:
step one: selecting service evaluation indexes of a village and town comprehensive energy system based on the acquired village and town energy demand analysis data and village and town energy supply planning data; wherein the service evaluation index comprises an energy efficiency index, an economic index and an environment evaluation index;
step two: based on a preset village and town energy demand response strategy and energy facility construction data, constructing an energy data monitoring and management system, and establishing a relation between energy service evaluation data and benefit evaluation weight;
step three: and constructing an evaluation model of the energy data monitoring and managing system according to the service evaluation indexes and the relational expression, and outputting evaluation results corresponding to different scenes.
2. The method for evaluating the performance of a comprehensive energy service of a village and town according to claim 1, wherein the village and town energy demand analysis data comprise village and town energy endowment and load demand, energy consumption data of departments and residents in the village and town, population and economic development analysis data and renewable energy potential evaluation data; the village and town energy supply planning data at least comprises energy supply diversity data, energy supply safety and reliability data and energy supply planning integration data;
the analysis model for the energy consumption data of each department and resident in the villages and towns is as follows:
the energy consumption analysis involves the following formula:
energy consumption rate ecr=e/T;
energy consumption increase rate egr= (E 2 -E 1 )/E 1
Wherein E is the energy consumption, T is the total energy used by villages and towns, E 1 E is the current energy consumption 2 Is the energy consumption in the upper period;
the analysis model for the village and town energy supply planning data is as follows:
renewable energy resource assessment rea=f;
renewable energy supply amount calculation res=re×u;
wherein f is renewable energy potential, RE is renewable energy resource amount, and U is utilization rate.
3. The method for evaluating the performance of a comprehensive energy service in a town according to claim 1, wherein the energy demand response strategy in the town is designed from the aspects of energy consumption optimization, energy load management and renewable energy utilization.
4. The method for evaluating the success rate of a comprehensive energy service of a town according to claim 1, wherein said energy facility construction data comprises renewable energy facility construction data, energy storage facility construction data, and network upgrade and intellectualization data.
5. The method for evaluating the success rate of a comprehensive energy service of a village and town according to claim 1, wherein the energy data monitoring and managing system performs data monitoring and management from the aspects of real-time data acquisition and monitoring, data analysis and prediction and data sharing and coordination.
6. The method for evaluating the success rate of a comprehensive energy service of a village and town according to claim 1, wherein said method further comprises: the effect of the comprehensive energy service mode is monitored and evaluated regularly, problems and potential improvement spaces can be found through monitoring and evaluation, and corresponding measures are adopted for adjustment and optimization so as to achieve the sustainable energy development goal of villages and towns.
7. The system for evaluating the success rate of the comprehensive energy service of the villages and towns according to any one of claims 1 to 6, which is characterized by comprising the following modules,
the energy data management and analysis module is used for selecting service evaluation indexes of the village and town comprehensive energy system based on the acquired village and town energy demand analysis data and village and town energy supply planning data; wherein the service evaluation index comprises an energy efficiency index, an economic index and an environment evaluation index;
the energy demand response and construction module is used for constructing an energy data monitoring and management system based on a preset village and town energy demand response strategy and energy facility construction data, and establishing a relation between energy service evaluation data and benefit evaluation weight;
and the energy system monitoring and evaluating module is used for constructing an evaluating model of the energy data monitoring and managing system according to the service evaluating indexes and the relational expression and outputting evaluating results corresponding to different scenes.
8. The system for evaluating the performance of a comprehensive energy service of a village and town according to claim 7, wherein the village and town energy demand analysis data comprises village and town energy endowment and load demand, energy consumption data of departments and residents in the village and town, population and economic development analysis data and renewable energy potential evaluation data; the village and town energy supply planning data at least comprises energy supply diversification data, energy supply safety and reliability data and energy supply planning integration data.
9. The system for evaluating the performance of a town integrated energy service of claim 7, wherein said town energy demand response policy is designed from the aspects of energy consumption optimization, energy load management, and renewable energy utilization.
10. The system of claim 7, wherein the energy facility construction data comprises renewable energy facility construction data, energy storage facility construction data, and network upgrade and intelligence data.
CN202311410585.XA 2023-10-25 2023-10-25 Method and system for evaluating comprehensive energy service performance of villages and towns Pending CN117575343A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117910885A (en) * 2024-03-18 2024-04-19 国网安徽省电力有限公司经济技术研究院 Comprehensive evaluation method and system for comprehensive energy service

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117910885A (en) * 2024-03-18 2024-04-19 国网安徽省电力有限公司经济技术研究院 Comprehensive evaluation method and system for comprehensive energy service

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