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Benchmarking Classical Machine Learning Models for Shading-Fault Detection in Rooftop Photovoltaic Systems Using Real Sensor Data
Most published comparisons of machine-learning classifiers for photovoltaic (PV) fault detection are validated on simulated faults. We compare seven classical and ensemble-tree classifiers on the Réunion dataset, a 4 kW domestic rooftop plant on which shading faults were physically staged and logged
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