Research on Semi-supervised Learning Detection Method of Electricity Theft Based on CT-GAN

被引:0
|
作者
Yang, Yining [1 ]
Zhang, Penghe [1 ]
Xia, Rui [2 ]
Gao, Yunpeng [2 ]
Wang, Fei [3 ]
Langzhenbaisang [3 ]
机构
[1] China Electric Power Research Institute Co. ,Ltd., Beijing,100192, China
[2] College of Electrical and Information Engineering, Hunan University, Changsha,410082, China
[3] State Grid Xizang Electric Power Co. ,Ltd., Lhasa,850000, China
关键词
D O I
10.16339/j.cnki.hdxbzkb.2024241
中图分类号
学科分类号
摘要
39
引用
收藏
页码:211 / 222
相关论文
共 50 条
  • [31] Research on electricity theft detection based on AdaBoost ensemble learning
    You W.
    Shen K.
    Yang N.
    Li Q.
    Wu Y.
    Li H.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (19): : 151 - 159
  • [32] AN OPERATOR METHOD FOR SEMI-SUPERVISED LEARNING
    Lu, Wei-Jun
    Bai, Yan
    Tang, Yi
    Tao, Yan-Fang
    PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2009, : 123 - +
  • [33] Electricity Theft Detection Method Based on Ensemble Learning and Prototype Learning
    Sun, Xinwu
    Hu, Jiaxiang
    Zhang, Zhenyuan
    Cao, Di
    Huang, Qi
    Chen, Zhe
    Hu, Weihao
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2024, 12 (01) : 213 - 224
  • [34] Electricity Theft Detection Method Based on Ensemble Learning and Prototype Learning
    Xinwu Sun
    Jiaxiang Hu
    Zhenyuan Zhang
    Di Cao
    Qi Huang
    Zhe Chen
    Weihao Hu
    Journal of Modern Power Systems and Clean Energy, 2024, (01) : 213 - 224
  • [35] Good Semi-supervised Learning That Requires a Bad GAN
    Dai, Zihang
    Yang, Zhilin
    Yang, Fan
    Cohen, William W.
    Salakhutdinov, Ruslan
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, 30
  • [36] A Comprehensive Analysis of Supervised Learning Techniques for Electricity Theft Detection
    Bohani, Farah Aqilah
    Suliman, Azizah
    Saripuddin, Mulyana
    Sameon, Sera Syarmila
    Salleh, Nur Shakirah Md
    Nazeri, Surizal
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2021, 2021
  • [37] Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing
    Huang, Yu-Xuan
    Dai, Wang-Zhou
    Yang, Jian
    Cai, Le-Wen
    Cheng, Shaofen
    Huang, Ruizhang
    Li, Yu-Feng
    Zhou, Zhi-Hua
    20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020), 2020, : 1070 - 1075
  • [38] Malware detection based on semi-supervised learning with malware visualization
    Gao, Tan
    Zhao, Lan
    Li, Xudong
    Chen, Wen
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2021, 18 (05) : 5995 - 6011
  • [39] Deceptive reviews detection based on semi-supervised learning algorithm
    Ren, Yafeng
    Ji, Donghong
    Yin, Lan
    Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition), 2014, 46 (03): : 62 - 69
  • [40] An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection
    Shi, Jiguang
    Li, Zhoutong
    Liu, Wenhan
    Zhang, Huaicheng
    Luo, Deyu
    Ge, Yue
    Chang, Sheng
    Wang, Hao
    He, Jin
    Huang, Qijun
    INFORMATION SCIENCES, 2024, 677