基于大客户价值挖掘的用电策略智能优化研究

Research on Intelligent Optimization of Power Consumption Strategy Based on Key Customer Mining

为适应供给侧改革,积极应对市场化竞争,保留住优质大客户,通过聚类分析、模式分类等算法,实现对客户的综合评价。客户价值属性分为用电属性、行为属性和需求属性,可对不同价值的客户构建不同的服务策略。通过建议用户改变基本电费计收方式、生产班次、无功补偿等,降低客户用电成本,帮助客户维持长久的生产经营活动;同时较少优质客户流失风险,有利于削峰填谷、提高电网稳定性,达到节能增效,提高电力公司经济社会效益,实现互利互惠的共赢局面。

In order to adapt to supply-side reforms,it is necessary to actively respond to market competition and retain high-quality large customers.Through clustering analysis,pattern classification and other algorithms,the comprehensive evaluation of customers is realized.Customer value attributes are divided into electricity consumption attributes,behavior attributes and demand attributes,and different service strategies can be constructed for customers of different values.By advising users to change the basic electricity billing method,production shifts,reactive power compensation,etc.,customers′electricity costs can be reduced and customers can be helped maintain long-term production and operation activities.At the same time,it reduces the risk of high-quality customer loss,which is conducive to cutting peak and filling valley,improving the stability of power grid,achieving energy saving and efficiency,improving the economic and social benefits of power companies,and achieving a win-win situation of mutual benefit.