Deep regression analysis for enhanced thermal control in photovoltaic energy systems

Deep regression analysis for enhanced thermal control in photovoltaic energy systems

Abstract Efficient cooling systems are critical for maximizing the electrical efficiency of Photovoltaic (PV) solar panels. However, conventional temperature probes often fail to capture the spatial variability in thermal patterns across panels, impeding accurate assessment of cooling system perform...

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Main Authors: Wael M. Elmessery, Abadeer Habib, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Tamer M. El-Messery, Salah Elsayed, Ahmed E. M. Fodah, Taha A. M. Abdelwahab, Khaled A. M. Ali, Yasser K. O. T. Osman, Mohamed F. Abdelshafie, Gomaa G. Abd El-wahhab, Abdallah E. Elwakeel
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Photovoltaic solar panels
Cooling systems monitoring
Thermal imaging
Deep learning
Image segmentation
Computer vision
Online Access:https://doi.org/10.1038/s41598-024-81101-x
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https://doi.org/10.1038/s41598-024-81101-x

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