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Article

Photovoltaic Panel Failure Detection Using Class-Conditioned Generative Adversarial Networks

2026-06-30

Abstract excerpt

<title>Abstract</title> <p>Detection of defects and failure in photovoltaic (PV) modules increasingly relies on multi-modal data. Artificial intelligencemodels trained on imaging data can help identifying PV defects and failures. However, the effectiveness of these imaging-baseddiagnostic models is frequently limited by severe class imbalance in real-world datasets, where safety-critical fault categoriesare signi...

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Literature Corpus work
08fbe998-537d-5b42-9d43-4f7ac9f48ce0
DOI
10.21203/rs.3.rs-9238947/v1
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Photovoltaic Panel Failure Detection Using Class-Conditioned Generative Adversarial NetworksDOI 10.21203/rs.3.rs-9238947/v1
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