Solar photovoltaic panel cells defects classification using deep learning ensemble methods

Solar photovoltaic (PV) systems are essential for sustainable energy production; however, their reliability may be undermined by unfavorable weather conditions, resulting in defects in the individual cells. Conventional manual inspection techniques are labor-intensive and susceptible to human error....

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מידע ביבליוגרפי

Principais autores:	H. Tella, A. Hussein, S. Rehman, B. Liu, A. Balghonaim, M. Mohandes
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2025-02-01
סדרה:	Case Studies in Thermal Engineering
נושאים:	Solar panels PV cells Defect detection Deep learning Ensemble models
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S2214157X25000097
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