The Abnormal Electricity Consumption Detection System Based on the Outlier Behavior Pattern Recognition

Yi-jia TANG, Mei-qi WEN, Tian-zhuang XU, Yi-bo WANG, Zhao-feng HUANG

Abstract


Stealing and leakage of electricity has always been challenging power supply enterprises. Detecting abnormal electricity consumption behavior provides a new way by conducting data mining on the information system. This paper systematically studies the power-consumption data, analyzes the characteristics of the behavior of the power-stealing users, and constructs a working process to detect abnormal electricity consumption. This study of the abnormal electricity consumption detection system based on the outlier behavior pattern recognition, provides a reference for the researchers of anti-power-stealing.

Keywords


Outlier behavior pattern, Data mining, Anti-Power-stealing


DOI
10.12783/dteees/icepe2017/11861

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