Analysis on electricity stealing behavior of incidence matrix based on time and space dimension

ZhiRuo Meng; Ren Qiang; He Cai; Yan Guan; HaoJie Tian; XueSong Liu; GangJun Gong

doi:10.1117/12.2648598

14 October 2022 Analysis on electricity stealing behavior of incidence matrix based on time and space dimension

ZhiRuo Meng, Ren Qiang, He Cai, Yan Guan, HaoJie Tian, XueSong Liu, GangJun Gong

Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123431L (2022) https://doi.org/10.1117/12.2648598
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China

Abstract

Aiming at the current electricity theft behavior in the power system, this paper proposes an analysis method of electricity theft behavior based on the time and space dimensions. In the spatial dimension, the outlier algorithm is used to analyze user behavior. Then, for users whose spatial dimension analysis results are normal, the time dimension analysis method is used for further analysis. Finally, an association matrix is constructed to find out users who are suspicious of stealing electricity. This article analyzes the power theft behavior in the power grid and finds out suspicious users, which is of great significance to the adjustment and optimization of the power grid structure.

Citation Download Citation

ZhiRuo Meng, Ren Qiang, He Cai, Yan Guan, HaoJie Tian, XueSong Liu, and GangJun Gong "Analysis on electricity stealing behavior of incidence matrix based on time and space dimension", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123431L (14 October 2022); https://doi.org/10.1117/12.2648598

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