摘要
Abstract
This article proposes a monitoring method for abnormal electricity consumption behavior of main end users based on power big data.Utilizing wireless sensors to collect electricity consumption behavior data of main end users,normalizing and filling in missing data,using power big data technology to classify user electricity consumption behavior data,estimating the abnormal coefficient of main end user electricity consumption behavior,identifying and monitoring abnormal electricity consumption behavior,and completing abnormal electricity consumption behavior monitoring of main end users based on power big data.The experimental results show that the absolute error of the monitoring results designed in this article is less than 0.1,and the leakage rate is less than 1%.It has good application prospects in monitoring the abnormal electricity consumption behavior of the main end users.关键词
电力大数据/主体终端用户/异常用电行为/无线传感器/数据填充/异常系数Key words
Power big data/Principal end users/Abnormal electricity consumption behavior/Wireless sensor/Data filling/Abnormal coefficient分类
信息技术与安全科学
