Guided-learning model for PV power forecasting without irradiance sensors

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead. The model reportedly showed strong out-of-sample performance while outperforming conventional irradiance-based approaches, particularly under noisy or inconsistent data conditions.A research team from South Korea has developed a novel guided-learning framework that jointly estimates irradiance and regresses PV power. "The model first learns an irradiance proxy from routine meteorological signals and ...

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