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Intelligent Maintenance Approaches for Improving Photovoltaic System Performance and Reliability
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A methodological review of cost-effective data-driven fault detection and diagnosis in distributed photovoltaic systems
Yinyan Liu, Earl Duran, Anna Bruce, Baran Yildiz, Bernardo Mendonca Severiano, Ibrahim Anwar Ibrahim, Jonathan Rispler, Chris Martell and Fiacre Rougieux Applied Energy 401 126636 (2025) https://doi.org/10.1016/j.apenergy.2025.126636
Deep Learning-Driven Solar Fault Detection in Solar–Hydrogen AIoT Systems: Implementing CNN VGG16, ResNet-50, DenseNet121, and EfficientNetB0 in a University-Based Framework