Fault Analysis Method for Distribution Network Operation and Maintenance Based on Improved Random Forest Algorithm-Reference-Cited by-同舟云学术

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Fault Analysis Method for Distribution Network Operation and Maintenance Based on Improved Random Forest Algorithm

Published:2024-02-27 Issue: Volume:34 Page:187-191
ISSN:
Container-title:2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
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Author:

Nie Ding¹,Fan Litao¹,Bi Yunchuan¹

Affiliation:

1. Yunnan Power Grid Co., Ltd. Electric Power Science Research Institute,Kunming,Yunnan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10485650/10485652/10485801.pdf?arnumber=10485801

Reference11 articles.

1. A distribution network fault repair and recovery strategy considering time-varying load [J];Rui;Journal of Electric Power Science and Technology,2019

2. Application Research of Automation Equipment in 10kV Distribution Network Fault Repair [J];Jianwen;Enterprise Technology Development (Academic Edition),2019

3. Optimization strategy for location selection and task allocation of distribution network fault repair stations [J];Jun;Guangdong Electric Power,2018

4. Design and practice of a distribution network fault repair analysis and prediction system based on big data technology [J];Haiyang;Electric Power Big Data,2020

5. Research on Optimization of Emergency Repair Strategies for Improving the Recovery Efficiency of Distribution Networks [J];Long;Zhejiang Electric Power,2020

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