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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Lourenco Sousa Pinho, Tiago Daniel Sousa, Celso D. Pereira, Andry M. Pinto
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
defect detection
photovoltaic panels
AAVs
Online Access:https://ieeexplore.ieee.org/document/11006036/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items