Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays

Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays

This review paper conducts a detailed exploration of the burgeoning field that leverages deep learning techniques for hotspot detection in solar photovoltaic (PV) arrays. Hotspots represent a paramount concern within PV systems, as they not only result in efficiency degradation but also pose potenti...

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Published in:2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024
Main Author: Hamid M.Z.A.; Daud K.; Soh Z.H.C.; Osman M.K.; Isa I.S.; Ishak N.H.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191698409&doi=10.1109%2fICPEA60617.2024.10498989&partnerID=40&md5=6c0de85cb6b48d86dfc618ad2da31f6f
id 2-s2.0-85191698409
spelling 2-s2.0-85191698409
Hamid M.Z.A.; Daud K.; Soh Z.H.C.; Osman M.K.; Isa I.S.; Ishak N.H.
Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
2024
2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024


10.1109/ICPEA60617.2024.10498989
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191698409&doi=10.1109%2fICPEA60617.2024.10498989&partnerID=40&md5=6c0de85cb6b48d86dfc618ad2da31f6f
This review paper conducts a detailed exploration of the burgeoning field that leverages deep learning techniques for hotspot detection in solar photovoltaic (PV) arrays. Hotspots represent a paramount concern within PV systems, as they not only result in efficiency degradation but also pose potential safety risks. This analysis encompasses a wide array of deep learning models and methodologies employed for hotspot detection, providing a rigorous assessment of their performance metrics. Furthermore, we engage in a forward-looking discussion concerning the promising future prospects and emerging trends within this dynamic and evolving research domain. As the global demand for renewable energy sources continues to rise, effectively addressing hotspots becomes more crucial for ensuring the sustainability and efficiency of solar PV arrays. © 2024 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
author Hamid M.Z.A.; Daud K.; Soh Z.H.C.; Osman M.K.; Isa I.S.; Ishak N.H.
spellingShingle Hamid M.Z.A.; Daud K.; Soh Z.H.C.; Osman M.K.; Isa I.S.; Ishak N.H.
Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
author_facet Hamid M.Z.A.; Daud K.; Soh Z.H.C.; Osman M.K.; Isa I.S.; Ishak N.H.
author_sort Hamid M.Z.A.; Daud K.; Soh Z.H.C.; Osman M.K.; Isa I.S.; Ishak N.H.
title Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
title_short Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
title_full Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
title_fullStr Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
title_full_unstemmed Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
title_sort Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
publishDate 2024
container_title 2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024
container_volume
container_issue
doi_str_mv 10.1109/ICPEA60617.2024.10498989
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191698409&doi=10.1109%2fICPEA60617.2024.10498989&partnerID=40&md5=6c0de85cb6b48d86dfc618ad2da31f6f
description This review paper conducts a detailed exploration of the burgeoning field that leverages deep learning techniques for hotspot detection in solar photovoltaic (PV) arrays. Hotspots represent a paramount concern within PV systems, as they not only result in efficiency degradation but also pose potential safety risks. This analysis encompasses a wide array of deep learning models and methodologies employed for hotspot detection, providing a rigorous assessment of their performance metrics. Furthermore, we engage in a forward-looking discussion concerning the promising future prospects and emerging trends within this dynamic and evolving research domain. As the global demand for renewable energy sources continues to rise, effectively addressing hotspots becomes more crucial for ensuring the sustainability and efficiency of solar PV arrays. © 2024 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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