客户用电行为分析助手的设计与实现

Design and Implementation of Customer Electricity Behavior Analysis Assistant

为帮助供电企业制定电力营销与调度策略,对客户用电行为进行分析是十分必要的。本文设计并实现了一款基于改进K均值聚类算法的客户用电行为分析助手。首先,对聚类算法进行介绍;接着,对用于客户用电行为分析的K均值聚类算法进行了优化;然后,对客户用电行为分析助手进行了设计;最后,展示了客户用电行为分析的聚类结果。结果表明,该客户用电行为分析助手能够根据不同的标准对客户进行集群划分,有助于对企业的电力营销和调度进行决策支撑。

In order to help power supply enterprises to formulate the power marketing and dispatching strategies,it is necessary to analyze the customer electricity behaviors.This paper designs and implements a customer electricity behavior analysis assistant based on the improved K-Means clustering algorithm.Firstly,the clustering algorithms are introduced.Secondly,the K-Means clustering algorithm used to analyze the customer electricity behaviors is optimized.Thirdly,the customer electricity behavior analysis assistant is designed.Finally,the clustering results of the customer electricity behavior analysis are presented.The results show that the customer electricity behavior analysis assistant can classify customers according to different standards,which is helpful to support the decision-making of power marketing and dispatching of enterprises.