The Abnormal Electricity Consumption Detection System Based on the Outlier Behavior Pattern Recognition
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
10.12783/dteees/icepe2017/11861
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