电力系统自动化2017，Vol.41Issue(5)：58-63,83,7.DOI:10.7500/AEPS20160607002
智能用电用户行为分析特征优选策略
Feature Selection Strategy for Electricity Consumption Behavior Analysis in Smart Grid
摘要
Abstract
In face of the problem with mass electricity data processing,a strategy of electricity consumption behavior feature selection is put forward to reduce computing complexity and improve validity.Firstly,the validity and the relevance of electricity consumption feature are analyzed by its information entropy and related coefficient.On this basis,an evaluation criterion for electricity consumption feature is designed.Then a feature selection strategy is built to reduce the high dimensions of the feature vectors by reducing the redundancy of feature space.And the condensed feature set is devised using this strategy to select features.According to the feature selection strategy,a method of electricity consumption behavior analysis is put forward to make electricity consumption behavior analysis optimized.Finally,the simulation results of this method achieved by electricity consumption data show that it can effectively improve the accuracy of clustering and reduce computation time.关键词
用电行为分析/特征选取/互信息/聚类分析/智能用电Key words
electricity consumption behavior analysis/feature selection/mutual information/clustering analysis/smart power utilization引用本文复制引用
陆俊,朱炎平,彭文昊,孙毅..智能用电用户行为分析特征优选策略[J].电力系统自动化,2017,41(5):58-63,83,7.基金项目
国家电网公司科技项目“智能电网用户行为理论与互动化模式研究”.This work is supported by State Grid Corporation of China. （）
