A Study on The Portrait and Investigation Method of Stealing Electricity
Authors: 
Maotao Yang, Xiangqi Xiao, Yanjiao Huang, Rui Huang, Wencheng Xiao, Liang YangAuthors Info & Claims
Maotao Yang, Xiangqi Xiao, Yanjiao Huang, Rui Huang, Wencheng Xiao, Liang YangAuthors Info & ClaimsPages 286 - 290
Abstract
in this paper, we extract the data of the knowledge base, marketing business system, power information collection system, integrated power quantity and line loss management system, decompose the data dimension and extract the characteristics of electricity theft, draw the portrait of electricity theft behavior, construct the identification database of electricity theft behavior.
References
[1]
Wang Yilin. Realization and Application of Telecommunication User Portrait System Based on Big Data Technology [D].]1 Beijing: Beijing University of posts and Telecommunications.
[2]
Wang Chengliang, Zheng Haiyan. Portrait of electricity behavior pattern of electric power customers based on fuzzy clustering [J]. ]1 Electrical Measurement and Instrumentation (18):77--88.
[3]
Chen Chao. Research on Dynamic Multi-objective Optimization Algorithm Based on Prediction Model [D].]; and Changsha: Hunan University.
[4]
Pan Feng. Study on Feature Extraction and Feature Selection Technology Changsha: Nanjing University of Aeronautics and Astronautics.
[5]
Chen Qixin, Zheng Kedi, Kang Chongqing, et al. Detection methods of abnormal electricity consumption: review and Prospect [J]. ].1 Power System Automation, 2018, 42(17):189--199.
[6]
Hu Xin. Study on Fault Feature Selection and Extraction Technology in Rotor Condition Monitoring [D].]; and Harbin: Harbin Engineering University.
[7]
Zhao Lei, Luan Wenpeng, Wang Qian. Accurate Line Loss Analysis of Low Voltage Distribution Network with AMI data [J]. ].10 Power Grid Technology 39(11):3189--3194.
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- A Study on The Portrait and Investigation Method of Stealing Electricity
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Published In
December 2020
687 pages
ISBN:9781450388665
DOI:10.1145/3452940
Copyright © 2020 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 May 2021
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- Research-article
- Research
- Refereed limited
Funding Sources
- the science and technology project of State Grid Corporation of China
Conference
ICITEE2020
ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering
December 3 - 5, 2020
Hunan, Changde City, China
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