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Can we justify producing univariate machine-learning forecasts with satellite-derived solar irradiance?
ArticleAbstract: • Independently generated ground-based and satellite-based forecasts are compared. • The joint distrPalabras claves:Ensemble forecasting, Machine learning, Satellite-derived irradiance, solar forecastingAutores:Dazhi Yang, Gandhi O., Srinivasan D., Yagli G.M.Fuentes:scopusEnsemble solar forecasting using data-driven models with probabilistic post-processing through GAMLSS
ArticleAbstract: Forecast performance of data-driven models depends on the local weather and climate regime, which maPalabras claves:Ensemble forecasting, Forecast combination, Machine learning, Post-processing, probabilistic forecasting, TIME SERIESAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopusReconciling solar forecasts: Probabilistic forecasting with homoscedastic Gaussian errors on a geographical hierarchy
ArticleAbstract: Hierarchical forecasting and reconciliation are new to the field of solar engineering. Previous papePalabras claves:Machine learning, Numerical weather pbkp_rediction, probabilistic forecasting, Reconciliation, Satellite-derived irradiance, solar forecastingAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopus