Monitoring Method for Abnormal Electricity Consumption Behavior of Main End Users Based on Power Big Data
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.
Power big dataPrincipal end usersAbnormal electricity consumption behaviorWireless sensorData fillingAbnormal coefficient
国家科技期刊平台
NSTL
万方数据
