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...
| الحاوية / القاعدة: | 2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024 |
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| المؤلف الرئيسي: | |
| التنسيق: | Conference paper |
| اللغة: | English |
| منشور في: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191698409&doi=10.1109%2fICPEA60617.2024.10498989&partnerID=40&md5=6c0de85cb6b48d86dfc618ad2da31f6f |
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Hamid M.Z.A.; Daud K.; Soh Z.H.C.; Osman M.K.; Isa I.S.; Ishak N.H. |
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Hamid M.Z.A.; Daud K.; Soh Z.H.C.; Osman M.K.; Isa I.S.; Ishak N.H. 2-s2.0-85191698409 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 |
2-s2.0-85191698409 |
| spellingShingle |
2-s2.0-85191698409 Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays |
| author_facet |
2-s2.0-85191698409 |
| author_sort |
2-s2.0-85191698409 |
| 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 |
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| container_issue |
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| 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. |
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| language |
English |
| format |
Conference paper |
| accesstype |
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| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1828987863030562816 |