Clipping: Microinverters have a fixed power output limit. When solar panels produce more energy than the microinverter's capacity, typically in high-sunlight conditions or during peak production times, the excess energy is "clipped," resulting in lost potential energy production.
This study introduces an automated defect detection pipeline that leverages deep learning and computer vision to identify five standard anomaly classes: Non-Defective, Dust, Defective, Physical Damage, and Snow on photovoltaic surfaces.
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