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Intelligent solar panel monitoring system and shading detection using artificial neural networks

Detecting shading in Photovoltaic panels (PV) is crucial for ensuring optimal energy generation. This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. The system is also supervised using an Internet of Th...

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Main Authors:	Fahad Saleh M. Abdallah, Fahad Saleh M. Abdallah, M.N. Abdullah, M.N. Abdullah, Ismail Musirin, Ismail Musirin, Ahmed M. Elshamy, Ahmed M. Elshamy
Format:	Article
Language:	English
Published:	Elsevier 2023
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/10058/1/J16143_eac313c9cbc1fdd5c22b7e6ec3a3d051.pdf http://eprints.uthm.edu.my/10058/ https://doi.org/10.1016/j.egyr.2023.05.163
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id	my.uthm.eprints.10058
record_format	eprints
spelling	my.uthm.eprints.100582023-10-11T03:22:32Z http://eprints.uthm.edu.my/10058/ Intelligent solar panel monitoring system and shading detection using artificial neural networks Fahad Saleh M. Abdallah, Fahad Saleh M. Abdallah M.N. Abdullah, M.N. Abdullah Ismail Musirin, Ismail Musirin Ahmed M. Elshamy, Ahmed M. Elshamy T Technology (General) Detecting shading in Photovoltaic panels (PV) is crucial for ensuring optimal energy generation. This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. The system is also supervised using an Internet of Things (IoT) monitoring platform, which provides real-time data analysis and alerts. The proposed system’s main contribution is its ability to detect shading, which can significantly impact energy generation. The ANN technology accurately detects shading and other faults, while the IoT platform enables remote monitoring and data analysis. Overall, this paper presents a valuable contribution to the field of PV monitoring systems by proposing a novel system that detects shading using ANN technology and is supervised using an IoT monitoring platform. The system’s ability to accurately detect shading and other faults can significantly improve energy generation efficiency and reduce maintenance costs. Elsevier 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/10058/1/J16143_eac313c9cbc1fdd5c22b7e6ec3a3d051.pdf Fahad Saleh M. Abdallah, Fahad Saleh M. Abdallah and M.N. Abdullah, M.N. Abdullah and Ismail Musirin, Ismail Musirin and Ahmed M. Elshamy, Ahmed M. Elshamy (2023) Intelligent solar panel monitoring system and shading detection using artificial neural networks. ScienceDirect. pp. 1-11. https://doi.org/10.1016/j.egyr.2023.05.163
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Fahad Saleh M. Abdallah, Fahad Saleh M. Abdallah M.N. Abdullah, M.N. Abdullah Ismail Musirin, Ismail Musirin Ahmed M. Elshamy, Ahmed M. Elshamy Intelligent solar panel monitoring system and shading detection using artificial neural networks
description	Detecting shading in Photovoltaic panels (PV) is crucial for ensuring optimal energy generation. This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. The system is also supervised using an Internet of Things (IoT) monitoring platform, which provides real-time data analysis and alerts. The proposed system’s main contribution is its ability to detect shading, which can significantly impact energy generation. The ANN technology accurately detects shading and other faults, while the IoT platform enables remote monitoring and data analysis. Overall, this paper presents a valuable contribution to the field of PV monitoring systems by proposing a novel system that detects shading using ANN technology and is supervised using an IoT monitoring platform. The system’s ability to accurately detect shading and other faults can significantly improve energy generation efficiency and reduce maintenance costs.
format	Article
author	Fahad Saleh M. Abdallah, Fahad Saleh M. Abdallah M.N. Abdullah, M.N. Abdullah Ismail Musirin, Ismail Musirin Ahmed M. Elshamy, Ahmed M. Elshamy
author_facet	Fahad Saleh M. Abdallah, Fahad Saleh M. Abdallah M.N. Abdullah, M.N. Abdullah Ismail Musirin, Ismail Musirin Ahmed M. Elshamy, Ahmed M. Elshamy
author_sort	Fahad Saleh M. Abdallah, Fahad Saleh M. Abdallah
title	Intelligent solar panel monitoring system and shading detection using artificial neural networks
title_short	Intelligent solar panel monitoring system and shading detection using artificial neural networks
title_full	Intelligent solar panel monitoring system and shading detection using artificial neural networks
title_fullStr	Intelligent solar panel monitoring system and shading detection using artificial neural networks
title_full_unstemmed	Intelligent solar panel monitoring system and shading detection using artificial neural networks
title_sort	intelligent solar panel monitoring system and shading detection using artificial neural networks
publisher	Elsevier
publishDate	2023
url	http://eprints.uthm.edu.my/10058/1/J16143_eac313c9cbc1fdd5c22b7e6ec3a3d051.pdf http://eprints.uthm.edu.my/10058/ https://doi.org/10.1016/j.egyr.2023.05.163
_version_	1779440616320532480
score	13.211869

Intelligent solar panel monitoring system and shading detection using artificial neural networks

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