An Identification Algorithm of Low Voltage User-Transformer Relationship Based on Improved Spectral Clustering-Reference-Cited by-同舟云学术

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An Identification Algorithm of Low Voltage User-Transformer Relationship Based on Improved Spectral Clustering

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE)
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Author:

Liu Lina¹,Li Fangshuo¹,Zhou Yifei¹,Cheng Zhijiong¹,Qu Ming¹,Yi Li¹,Wang Shu¹,Long Hailian¹,Wu Yong¹,Wang Wei¹

Affiliation:

1. State Grid Sichuan Electric Power Research Institute,Chengdu,China,610045

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9676696/9676713/09676868.pdf?arnumber=9676868

Reference11 articles.

1. Spectral clustering algorithm based on local covariance matrix;du;Computer Engineering and Application,2019

2. Adaptive spectral clustering algorithm based on artificial bee colony algorithm;hu;Journal of Chongqing University of Technology (Natural Science),2020

3. Eigenvector selection algorithm for spectral clustering based on mean;wang;Computer and Modernization,2013

4. An improved particle swarm optimization algorithm for adaptive inertia weights;zhang;Microelectronics and Computer,2019

Cited by 1 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. Identification Method for Users-Transformer Relationship in Station Area Based on Local Selective Combination in Parallel Outlier Ensembles Algorithm;Energy Engineering;2023

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