Enhanced Fault Diagnosis in Grid-Connected Photovoltaic Systems: Leveraging Transfer Learning and Ensemble Methods for Superior Accuracy

Enhanced Fault Diagnosis in Grid-Connected Photovoltaic Systems: Leveraging Transfer Learning and Ensemble Methods for Superior Accuracy

Early fault detection in photovoltaic grid-connected systems is crucial for optimizing energy output and ensuring system reliability. However, challenges such as noise interference, limited computational resources, and the need for high diagnostic accuracy make fault detection complex and resource-i...

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Bibliographic Details
Main Authors: Ali Teta, Maissa Medkour, Ahmed Chennana, Ammar Chouchane, Yassine Himeur, Rida Gadhafi, EL Ouanas Belabbaci, Shadi Atalla, Wathiq Mansoor
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Ensemble learning
fault diagnosis
grid-connected PV systems
pixel-wise images
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10807202/
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https://ieeexplore.ieee.org/document/10807202/

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