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Integrated Energy Service Package Design of Service Provider Based on Power Customer Classification

  • Zhichao Ren
  • , Jun Wei
  • , Haiyan Wang
  • , Yingying Deng
  • , Xinting Yang
  • , Cong Zhang
  • State Grid Sichuan Economic Research Institute
  • Beijing Join Bright Digital Power Technology Co.,Ltd

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

At present, with the acceleration of energy transformation and the deepening of power market reform, power service presents new development trends in China. Considering user selection behavior, IES package which fits the actual energy consumption behavior of customers is employed to help power service provider to further gain dominance and more profit in the electricity market. The multi-dimensional energy-using behavior is identified through user portrait, and the service adapting matrix is determined by Delphi method. The multi-dimensional vector and the adapting matrix are combined fuzzily to obtain the service matching vector, which is adopted as the standard of user classification. Then, the selection behavior of different user groups is estimated based on MNL rule. Moreover, the package evaluation model is established with the objective function of maximizing the benefit of power service provider. Finally, the feasibility of the IES package in a tiered manner is verified through example calculation based on five integrated energy services.

Original languageEnglish
Title of host publication2021 International Conference on Intelligent Technology and Embedded Systems, ICITES 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages197-203
Number of pages7
ISBN (Electronic)9781665427555
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 International Conference on Intelligent Technology and Embedded Systems, ICITES 2021 - Chengdu, China
Duration: 30 Oct 20212 Nov 2021

Publication series

Name2021 International Conference on Intelligent Technology and Embedded Systems, ICITES 2021

Conference

Conference2021 International Conference on Intelligent Technology and Embedded Systems, ICITES 2021
Country/TerritoryChina
CityChengdu
Period30/10/212/11/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Integrated energy service
  • customer classification
  • user selection behavior

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