基于聚类分析的用户分类和用电行为分析

Analysis of User Classification and Electricity Consumption Behavior Based on Cluster Analysis

针对用户用电行为特性和用户用电负荷特性,利用K均值聚类法和模糊C均值聚类法对用户用电行为进行了分类分析。依据用户用电负荷曲线特性,使用K均值聚类和模糊C均值聚类的方法对用户用电类型进行了分类;依据聚类分析结果对用户用电行为进行了分析,分别分析了各类用户与总负荷曲线的相似度,分析了2种聚类方法的差异,为供电公司针对不同类型用户提高差异化供电服务提供了参考依据。

According to the characteristic of user electricity consumption behaviors and electricity load,the methods of K-means clustering and fuzzy C-means clustering were used to analyze the electricity behavior of users and classify the types of users.Based on user electricity load curve characteristics,K-means clustering and fuzzy C-means clustering methods were used to classify the type of users of electricity.According to the cluster analysis,users＇ electricity consumption behaviors were analyzed.The similarity between the load curve of each type of users and the total load curve and the differences between the two clustering methods were analyzed.This provides references for power companies to improve differential power supply service for different types of users.