Research on A Multi-Dimensional Intelligent Deduction and Risk Early Warning Evaluation Method of Electricity Stealing Situation
Authors: 
Xiangqi Xiao, Rui Huang, Maotao Yang, Wencheng Xiao, Liang Yang, Yanjiao HuangAuthors Info & Claims
Xiangqi Xiao, Rui Huang, Maotao Yang, Wencheng Xiao, Liang Yang, Yanjiao HuangAuthors Info & ClaimsPages 112 - 116
Abstract
Currently, most researches on anti-electricity stealing technologies have not combined seasonal power consumption features, social and economic information for electric stealing situational warnings, and cannot effectively solve the problem of large workload and low accuracy in manual anti-electricity stealing monitoring. In addition, they cannot provide reliable technical support for front-line staff of electricity consumption inspection and anti-electricity stealing to accurately and efficiently carry out anti-electricity stealing analysis and investigation work. In view of this situation, this paper proposes a multi-dimensional intelligent deduction and risk early warning evaluation method of electricity stealing situation.
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Published In
December 2020
687 pages
ISBN:9781450388665
DOI:10.1145/3452940
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 May 2021
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- Research
- Refereed limited
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- the science and technology project of State Grid Corporation of China
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ICITEE2020
ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering
December 3 - 5, 2020
Hunan, Changde City, China
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