Leakage Current De-Disturbance Method for Distribution Network Type Surge Arrester Based on EEMD-SVD and Low-Rank RBF Neural Network-Reference-Cited by-同舟云学术

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Leakage Current De-Disturbance Method for Distribution Network Type Surge Arrester Based on EEMD-SVD and Low-Rank RBF Neural Network

Published:2024 Issue: Volume:12 Page:52097-52109
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhou Hu¹,Jian Xuan¹,Chen Shuang¹,Li Xin²,He Wei¹,Huang Pei¹,Chen Wei¹,Luo Jiawei¹,Zhang Xin¹,Li Bingquan¹,Wang Jingang³^ORCID,Duan Xuetao³^ORCID

Affiliation:

1. Beibei Power Supply Branch of State Grid Chongqing Electric Power Company, Chongqing, China

2. State Grid Chongqing Electric Power Company, Chongqing, China

3. School of Electrical Engineering, Chongqing University, Chongqing, China

Funder

Science and Technology Project of Chongqing Electric Power Company

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10496110.pdf?arnumber=10496110

Reference31 articles.

1. Evolution and Prediction of Urban Fringe Areas Based on Logistic–CA–Markov Models: The Case of Wuhan City

2. A Method for the Precise Coordinate Determination of an Inaccessible Location

3. On Joint Optimization of UAV-Assisted Covert Communication Systems with NOMA for Hydropower Internet of Things

4. Application of Autonomous Transportation Systems: Detection of a Potential Sub-Leasing Type of Carsharing

5. Magnetron Sputter Deposition of Nanostructured AlN Thin Films

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