计算机与数字工程2019，Vol.47Issue(5)：1279-1282,4.DOI:10.3969/j.issn.1672-9722.2019.05.052
基于用户负荷的用电模式分析方法
Power Consumption Analysis Method Based on User Load
邓明斌 1谭致远 1陈广开 1韩玮 1徐志淼1
作者信息
摘要
Abstract
In view of the present situation that most power supply enterprise marketing audit mainly rely on passive methods such as artificial inspection,which are hard to detect abnormal electricity customers,an electricity price implementation online in?spection model is developed in this paper based on data mining technology. Using the mass data of measurement automation system and marketing system,the model firstly uses K-means clustering algorithm to construct the typical electricity track module to identi?fy the customer's typical electricity mode. Secondly,the Mahalanobis distance discriminant analysis algorithm is adopted to estab?lish the abnormal customer distinguish module,which can identify abnormal electricity customers automatically. The outputs of the model are all the suspected electricity customers,which can provide power inspectors audit scopes and basis. The feasibility and va?lidity of the proposed method are verified by analysis results of the power marketing inspection work in one regional power supply bu?reau in South China.关键词
负荷/用电行为/用电模式/K-means聚类/数据挖掘Key words
load/electricity behavior/power-mode/K-means clustering/data mining分类
管理科学引用本文复制引用
邓明斌,谭致远,陈广开,韩玮,徐志淼..基于用户负荷的用电模式分析方法[J].计算机与数字工程,2019,47(5):1279-1282,4.
