Research on the optimization strategy of customers’ electricity consumption based on big data

Jiangping Liu; Zong Wang; Hui Hu; Shaoxiang Xu; Jiabin Wang; Ying Liu

doi:10.1016/j.gloei.2023.06.002

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Research on the optimization strategy of customers’ electricity consumption based on big data

Smart Grid | 更新时间：2026-10-08

- Research on the optimization strategy of customers’ electricity consumption based on big data
- Research on the optimization strategy of customers’ electricity consumption based on big data
- 全球能源互联网(英文) 2023年6卷第3期页码：273-284
- 作者机构：
  
  1. Hubei Electric Power Exchange Center Limited Company,Wuhan,PR China,430070
  2. School of Economics and Management, North China Electric Power University,Beijing,PR China,102206
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2023.06.002
  中图分类号：
- 网络首发：2023-06-27，
  
  纸质出版：2023-06-27
- 稿件说明：
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Jiangping Liu, Zong Wang, Hui Hu, 等. Research on the optimization strategy of customers’ electricity consumption based on big data[J]. 全球能源互联网(英文), 2023,6(3):273-284.

Jiangping Liu, Zong Wang, Hui Hu, et al. Research on the optimization strategy of customers’ electricity consumption based on big data[J]. Global Energy Interconnection, 2023, 6(3): 273-284.
Jiangping Liu, Zong Wang, Hui Hu, 等. Research on the optimization strategy of customers’ electricity consumption based on big data[J]. 全球能源互联网(英文), 2023,6(3):273-284. DOI： 10.1016/j.gloei.2023.06.002.

Jiangping Liu, Zong Wang, Hui Hu, et al. Research on the optimization strategy of customers’ electricity consumption based on big data[J]. Global Energy Interconnection, 2023, 6(3): 273-284. DOI： 10.1016/j.gloei.2023.06.002.

摘要

Abstract

Current power systems face significant challenges in supporting large-scale access to new energy sources

and the potential of existing flexible resources needs to be fully explored from the power supply

grid

and customer perspectives. This paper proposes a multi-objective electricity consumption optimization strategy considering the correlation between equipment and electricity consumption. It constructs a multi-objective electricity consumption optimization model that considers the correlation between equipment and electricity consumption to maximize economy and comfort. The results show that the proposed method can accurately assess the potential for electricity consumption optimization and obtain an optimal multi-objective electricity consumption strategy based on customers’ actual electricity consumption demand.

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