Hybrid CNN-Autoencoder model for accurate and efficient fault diagnosis in grid-connected photovoltaic systems

The reliability of grid-connected photovoltaic (PV) systems is critical for optimizing energy output and minimizing maintenance costs, yet traditional fault diagnosis methods often lack accuracy, scalability, and real-time capabilities. This paper proposes a hybrid CNN-Autoencoder model to address t...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Salem Titouni, Boualem Hammache, Massinissa Belazzoug, Yassine Himeur, Idris Messaoudene, Adel Oulefki, Diana W. Dawoud, Farouk Chetouah, Shadi Atalla, Wathiq Mansoor
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2025-12-01
Цуврал:	International Journal of Electrical Power & Energy Systems
Нөхцлүүд:	Photovoltaic systems Fault diagnosis CNNs Autoencoder Deep learning Grid-connected PV systems
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S0142061525010026
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!