Anomaly Detection for PV Modules Using Multi-Modal Data Fusion in Aerial Inspections

Solar energy is a compelling and growing avenue for transitioning towards reliance on sustainable and environmentally friendly energy sources. However, the performance of individual photovoltaic (PV) panels is vulnerable to defects inflicted by weather exposure. The industry currently addresses thes...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Lourenco Sousa Pinho, Tiago Daniel Sousa, Celso D. Pereira, Andry M. Pinto
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Deep learning defect detection photovoltaic panels AAVs
Online Access:	https://ieeexplore.ieee.org/document/11006036/