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An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting 원문보기

Applied energy, v.309, 2022년, pp.118473 -   

Mitrentsis, Georgios (Corresponding author.) ,  Lens, Hendrik

Abstract AI-Helper 아이콘AI-Helper

Abstract PV power forecasting models are predominantly based on machine learning algorithms which do not provide any insight into or explanation about their predictions (black boxes). Therefore, their direct implementation in environments where transparency is required, and the trust associated wit...

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