Fault resistance estimation for line-line fault in photovoltaic arrays using regression-based dense neural network-Reference-Cited by-同舟云学术

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Fault resistance estimation for line-line fault in photovoltaic arrays using regression-based dense neural network

Published:2024-07 Issue: Volume:133 Page:108067
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Nedaei Amir^ORCID,Eskandari Aref,Milimonfared Jafar,Aghaei Mohammadreza^ORCID

Funder

Norges Teknisk-Naturvitenskapelige Universitet

Amirkabir University of Technology

Publisher

Elsevier BV

Reference22 articles.

1. Neural Networks and Deep Learning : a Textbook/by Charu C. Aggarwal. Neural Networks and Deep Learning : A Textbook;Aggarwal,2018

2. Introductory Chapter: Solar Photovoltaic Energy. Solar Radiation - Measurements, Modeling and Forecasting for Photovoltaic Solar Energy Applications [Working Title];Aghaei,2022

3. Long short-Term memory networks based automatic feature extraction for photovoltaic array fault diagnosis;Appiah;IEEE Access,2019

4. ARTICLE 690-Solar Photovoltaic (PV) Systems. NFPA70,2011

5. Artificial neural networks: a practical course;da Silva;Artificial Neural Networks: A Practical Course,2016

Cited by 1 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. Analysis of Occupational Exposure and Influencing Factors for 500kV Substation Personnel Based on Neural Networks;2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT);2024-03-29

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