SmartPV-AIoT: an AIoT-integrated framework for fault diagnosis and remote monitoring in photovoltaic systems

This paper presents SmartPV-AIoT, a cost-effective and edge-computing-based framework for real-time fault detection and environmental monitoring in photovoltaic (PV) systems. Addressing the challenges faced in remote or intermittently connected environments, the proposed system integrates electrical...

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Detalhes bibliográficos

Principais autores:	Ehtisham Lodhi, Xiaoli Liu, Gang Xiong, M. Adil Khan, Zeeshan Lodhi, Tahir Nawaz, Adil Dilawar, Sasu Tarkoma, Feiyue Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-07-01
coleção:	Energy Conversion and Management: X
Assuntos:	Photovoltaic (PV) Artificial Intelligence of Things (AIoT) Green energy resources Deep learning Fault detection Fault classification
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2590174525002491
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