Intelligent fault diagnosis technique for distribution grid-Reference-Cited by-同舟云学术

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Intelligent fault diagnosis technique for distribution grid

Published:2022 Issue: Volume: Page:249-292
ISSN:
Container-title:Power System Fault Diagnosis
language:
Short-container-title:

Author:

Shafiullah Md,Abido M.A.,Al-Mohammed A.H.

Publisher

Elsevier

Reference61 articles.

1. Fault diagnosis in low voltage smart distribution grids using gradient boosting trees;Sapountzoglou;Electr. Power Syst. Res.,2020

2. A review on distribution grid fault location techniques;Shafiullah;Electr. Power Components Syst.,2017

3. Review of fault location methods for distribution power system;Mirzaei;Aust. J. Basic Appl. Sci.,2009

4. Recent developments in fault location methods for distribution networks;Awalin;Prz. Elektrotechniczny,2012

5. An improved sparse-measurement-based fault location technology for distribution networks;Jia;IEEE Trans. Ind. Informatics,2021

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1. An efficient evolutionary algorithm based on deep reinforcement learning for large-scale sparse multiobjective optimization;Applied Intelligence;2023-05-17

2. Machine learning tools for active distribution grid fault diagnosis;Advances in Engineering Software;2022-11

3. Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time;Transportation Letters;2022-08-18

4. Intelligent fault diagnosis for distribution grid considering renewable energy intermittency;Neural Computing and Applications;2022-05-20

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