ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2018, Vol. 55 ›› Issue (8): 1599-1608.doi: 10.7544/issn1000-1239.2018.20180216

Special Issue: 2018数据挖掘前沿进展专题

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Stealing Behavior Recognition Method Based on Electricity Characteristics Analysis

Shi Yuliang1,2, Rong Yiping3,Zhu Weiyi3   

  1. 1(School of Software, Shandong University, Jinan 250100);2(Dareway Software Co., Ltd., Jinan 250100);3(State Grid Shandong Electric Power Company, Jinan 250001)
  • Online:2018-08-01

Abstract: Anti-stealing electricity is an indispensable component of electricity enterprise management. In view of the current problems such as the large number of users, the wide distribution area, the increasing year-on-year power stealing, and the lack of supervision personnel, this paper analyzes and handles the data of power stealing behavior, and proposes a stealing behavior recognition method which can identify the stealing users. First, based on the collected samples, this method adopts a filtering algorithm and a regular threshold to implement feature extraction, so as to improve the effectiveness of the collected data. Then, the user’s stealing behavior diagnosis model is constructed based on the logistic regression algorithm to realize the determination of suspected users. In addition, this paper uses the closed-loop working mechanism which continues to update data by the way of pushing, shooting, processing and feedback to continuously optimize the model. According to the collected data provided by the power consumption information collection system and marketing business application system of State Grid Shandong Electric Power Company, the experimental results prove the feasibility and applicability of the method.

Key words: filter algorithm, rule threshold setting, feature extraction, stealing behavior diagnosis model, closed-loop feedback optimization

CLC Number: