Detection Method for Load Stealing Behavior in Distribution Networks Based on Time Series and Abnormal Characteristics of Regional Electricity Consumption

Author:

Wang Haibin1,Zhao Yudong2,Teng Yuzhe2,Liu Xinran2

Affiliation:

1. Xi’an Shuangying Scientific and Technology Co. Ltd,Xian,Shannxi,China,710000

2. State Grid Liaoning Electric Power Co., Ltd,Shenyang,Liaoning,China,110000

Publisher

IEEE

Reference12 articles.

1. Multi-class Electricity Theft Detection Based on the CNN-LSTM Hybrid Model [J];Jinjin;Journal of Electric Power Science and Technology,2023

2. Review on Artificial Intelligence-based Network Attack Detection in Power Systems [J];Bo;High Voltage Engineering,2022

3. A Detection Method of Electricity Theft Behavior Based on An SE-CNN Model [J];Rui;Power System Protection and Control,2022

4. Abnormal Detection of Electricity Theft Using A Deep Auto-encoder Gaussian Mixture Model [J];Zhaorui;Power System Protection and Control,2022

5. Research on Detection Method of Electricity Theft Behavior Based on CNN-LG Model [J];Baiyuan;Journal of Hunan University(Natural Sciences),2022

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