电力系统自动化2018，Vol.42Issue(2)：58-63,6.DOI:10.7500/AEPS20170726009
智能用电用户行为分析的聚类优选策略
Clustering Optimization Strategy for Electricity Consumption Behavior Analysis in Smart Grid
摘要
Abstract
Aiming at the problem of choosing the optimal cluster number for electricity consumption behavior in smart grid under the background of big data,a clustering optimization strategy of electricity consumption behavior analysis is put forward. Based on the research of the feature optimization selection strategy of the electricity consumption behavior analysis in the early stage,the feature optimization selection strategy is used to extract the optimal feature set of the load curve to cluster the users"electricity data.Then the optimal strategy of clustering number is proposed,and the optimal number of clusters is determined by comprehensively considering the accuracy evaluation index and the effectiveness evaluation index.Based on the data of domestic and foreign electricity data,the experimental simulation verifies that the proposed strategy can select the reasonable number of clustering and effectively improve the clustering effect of the data of electricity consumption.关键词
用户行为分析/智能用电/聚类优选/准确度/有效度Key words
users" behavior analysis/electricity consumption in smart grid/cluster optimization/accuracy/effectiveness引用本文复制引用
龚钢军,陈志敏,陆俊,王朝亮,祁兵,崔高颖..智能用电用户行为分析的聚类优选策略[J].电力系统自动化,2018,42(2):58-63,6.基金项目
国家重点研发计划资助项目(2016YFB0901104) （2016YFB0901104）
国家电网公司科技项目"城区用户与电网供需友好互动系统". This work is supported by National Key R&D Program of China (No.2016YFB0901104) and State Grid Corporation of China. （No.2016YFB0901104）
