A fault location method of distribution network based on XGBoost and SVM algorithm-Reference-Cited by-同舟云学术

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A fault location method of distribution network based on XGBoost and SVM algorithm

Published:2021-10-29 Issue:4 Volume:6 Page:254-264
ISSN:2398-3396
Container-title:IET Cyber-Physical Systems: Theory & Applications
language:en
Short-container-title:IET cyber-phys. syst.

Author:

Liu Keyan¹^ORCID,Kang Tianyuan¹,Ye Xueshun¹,Bai Muke¹,Fan Yaqian¹^ORCID

Affiliation:

1. China Electric Power Research Institute Co., Ltd Beijing China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cps2.12022

Reference24 articles.

1. Fault Location in Distribution Networks Through Graph Marking

2. Performance comparison of MLP and RBF neural networks for fault location in distribution networks with DGs

3. Fault Location Method for DC Distribution Network Based on Particle Swarm Optimization

4. Learning-Based Modeling and Optimization for Real-Time System Availability

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1. Enhancing Electrical Fault Detection in Transmission Lines Through Machine Learning;2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES);2024-06-21

2. Enhanced fault localization in multi-terminal transmission lines using novel machine learning;International Journal for Simulation and Multidisciplinary Design Optimization;2024

3. Traveling Wave Based Fault Location and Fault Classification Technique for Distribution Networks with High Renewable Penetration;2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET);2023-12-21

4. An extended impedance‐based fault location algorithm in power distribution system with distributed generation using synchrophasors;IET Generation, Transmission & Distribution;2023-12-15

5. Review on the key technologies of power grid cyber‐physical systems simulation;IET Cyber-Physical Systems: Theory & Applications;2023-06-21

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