山东电力技术2026，Vol.53Issue(2)：89-97,9.DOI:10.20097/j.cnki.issn1007-9904.240519
基于改进RFM的用户需求响应潜力分级方法
A Grading Method for User Demand Response Potential Based on Improved RFM
摘要
Abstract
To precisely evaluate and classify user demand response potential,a grading method for user demand response potential based on an improved recency,frequency,monetary(RFM)model is proposed.While the traditional RFM model has been widely applied in customer relationship management,its three dimensions do not directly reflect users'willingness to engage in demand response.Therefore,this paper first improves theRFM model by incorporating three indicators:average response value,response frequency,and response effectiveness,to measure users'willingness to participate.Additionally,combined with user load characteristics,an indicator system is constructed that encompassing dimensions such as importance,volatility,regularity,and sensitivity.Finally,by weighting and combining these two factors,the method enables the grading evaluation of different users'demand response potential.Case study results demonstrate that this method can more comprehensively reflect users'response capability and willingness,providing theoretical support and practical reference for the effective implementation of demand response..关键词
需求响应/用户参与意愿/改进RFM模型/负荷特性Key words
demand response/user participation willingness/improved RFM model/load characteristics分类
信息技术与安全科学引用本文复制引用
刘涛,李鹏,卫一民,程雯,任鹏..基于改进RFM的用户需求响应潜力分级方法[J].山东电力技术,2026,53(2):89-97,9.基金项目
国网河南省电力公司2024年省管产业单位科技项目(豫电科[2024]190号). State Grid Henan Electric Power Company 2024 Provincial-level Industrial Science and Technology Project([2024]190). （豫电科[2024]190号）
