Performance comparison of MLP and RBF neural networks for fault location in distribution networks with DGs-Reference-Cited by-同舟云学术

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

Published:2010-11 Issue: Volume: Page:
ISSN:
Container-title:2010 IEEE International Conference on Power and Energy
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Author:

Zayandehroodi Hadi,Mohamed Azah,Shareef Hussain,Mohammadjafari Marjan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5684398/5697536/05699422.pdf?arnumber=5699422

Cited by 5 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. Fault detection in a distribution network using a combination of a discrete wavelet transform and a neural Network’s radial basis function algorithm to detect high-impedance faults;Frontiers in Energy Research;2023-02-22

2. Convolution Neural Network Fault Identifier in Distribution Network in the Presence of Distribution Generation Units;2022 23rd International Middle East Power Systems Conference (MEPCON);2022-12-13

3. A fault location method of distribution network based on XGBoost and SVM algorithm;IET Cyber-Physical Systems: Theory & Applications;2021-10-29

4. Impact of distributed generation on the protection systems of distribution networks: analysis and remedies – review paper;IET Generation, Transmission & Distribution;2020-11-13

5. A Fault Location Method for Active Distribution Network with Renewable Sources Based on BP Neural Network;2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics;2015-08

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