Identification of electricity theft based on the k-means clustering method-Reference-Cited by-同舟云学术

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Identification of electricity theft based on the k-means clustering method

Published:2022-09-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 9th International Conference on Power Electronics Systems and Applications (PESA)
language:
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Author:

Lin Qian¹,Li Mingming¹,Feng Shuhui¹,Yang Jingjing¹,Surn Xiaopeng²,Li Jiangtao³,Wang Zhiyuan⁴,Zhang Jinghui⁵,Xie Xiangmin⁵

Affiliation:

1. State Grid Shandong Electric Power Corporation Weifang Power Supply Company,Weifang,China

2. State Grid Shandong Electric Power Corporation Changyi Power Supply Company,Changyi,China

3. State Grid Shandong Electric Power Corporation Changle Power Supply Company,Changle,China

4. Shandong Kehua Electric Power Technology CO. LTD.,Jinan,China

5. College of Electrical engineering, Qingdao University,Qingdao,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10038285/10038286/10038423.pdf?arnumber=10038423

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electricity Theft Detection Using K-means Clustering in Electricity Information System;2024 International Conference on Smart Computing, IoT and Machine Learning (SIML);2024-06-06

2. Artificial Intelligence for Energy Theft Detection in Distribution Networks;Energies;2024-03-26

3. Distribution Network Line Loss Assessment Method Based on Data Clustering;2023 2nd Asian Conference on Frontiers of Power and Energy (ACFPE);2023-10-20

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