A Method for Identifying Abnormal Electricity Consumption Behavior of Power Users Based on Big Data of Electricity Metering
In order to improve the accuracy of identifying abnormal electricity consumption behavior of power users,avoid the risk of electricity theft,and ensure the safety and reliability of smart grid power supply,a research on identifying abnormal electricity consumption behavior of power users based on big data of electricity metering has been carried out.Firstly,utilizing the big data of electricity metering to comprehensively collect and preprocess electricity load data,as sample data for identifying abnormal electricity consumption behavior.Secondly,from the sample data,select users who are suspected of having abnormal electricity usage.On this basis,a model for identifying abnormal electricity consumption behavior is constructed to identify the electricity consumption behavior of the selected suspected users,and output normal and abnormal electricity consumption behavior samples.The experimental analysis results show that after the application of the proposed recognition method,the accuracy of identifying abnormal electrical behavior of power users has reached over 98%,which can more accurately identify abnormal electrical behavior and reduce the hidden danger of electricity theft.
国家科技期刊平台
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