基于逻辑回归模型的电能替代用户辨识研究

Research on Discrimination of Electric Energy Substitution Users Based on Logistic Regression Model

当前电网在推广电能替代过程中存在走访效率低、信息难以整合的问题,利用大数据技术在信息处理上所具备的高效、高速、便捷的特点,可实现企业对每个用户精准定位、差异化营销的目标。在分析目前电网用户用能现状的基础上,通过“行业-领域-用户”三层架构分析方法,将用户按行业、设备特征归纳聚类,并结合当前电网已有数据,深入挖掘电能替代用户用能、用电特征,构建电能替代用户判别模型,从而提升电网业务的工作效率和经济效益。

The current power grid is found with low visiting efficiency,information integration difficulty in the promotion of electric energy substitution.The big data technology is featured by high efficiency,high speed and convenience in terms of information processing,so it can realize the precise localization and differentiated marketing of each user.This paper,based on the analysis of energy consumption status of current power grid users and employing"industry-field-user"architectural analysis,classifies users as per industry and equipment characteristics and combines with existing data of current power grid to exploit the energy and electricity consumption characteristics of electric energy substitution users and build discrimination model of electric energy substitution users to improve the working efficiency and economic benefit of power grid business.