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

作     者：Jiangping Liu Zong Wang Hui Hu Shaoxiang Xu Jiabin Wang Ying Liu Jiangping Liu;Zong Wang;Hui Hu;Shaoxiang Xu;Jiabin Wang;Ying Liu

作者机构：Hubei Electric Power Exchange Center Limited CompanyWuhan 430070P.R.China School of Economics and ManagementNorth China Electric Power UniversityBeijing 102206P.R.China 

出 版 物：《Global Energy Interconnection》 (全球能源互联网（英文版）)

年 卷 期：2023年第6卷第3期

页      面：273-284页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

主　　题：Big data Electricity consumption optimization Load elasticity Electricity consumption relevance 

摘      要：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 *** paper proposes a multi-objective electricity consumption optimization strategy considering the correlation between equipment and electricity *** constructs a multi-objective electricity consumption optimization model that considers the correlation between equipment and electricity consumption to maximize economy and *** 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.