Detection of abnormal Electricity Consumption Behavior of Users Based on K-means Clustering Algorithm Fusion and Improved SVM-Reference-Cited by-同舟云学术

Detection of abnormal Electricity Consumption Behavior of Users Based on K-means Clustering Algorithm Fusion and Improved SVM

Published:2022-09-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Conference on Intelligent Information Processing
language:
Short-container-title:

Author:

Huang Haibin¹^ORCID,Xie Xiaolan²^ORCID,Liu Yarong²^ORCID

Affiliation:

1. Guilin University of Technology, China

2. Guangxi Key Laboratory of Embedded Technology and Intelligent System, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3570236.3570280

Reference22 articles.

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4. Detection methods for abnormal power consumption: review and prospect [J];Qixin Chen;Automation of Electric Power Systems,2018

5. Li Pei , Hu Guoping , Huang Yaolian , Intelligent Identification of Suspected Users of Electricity Stealing in Distribution Network Based on Integrated ELM [J]. Science and Technology Bulletin , 2018 . Li Pei, Hu Guoping, Huang Yaolian, Intelligent Identification of Suspected Users of Electricity Stealing in Distribution Network Based on Integrated ELM [J]. Science and Technology Bulletin, 2018.