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Ensemble 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:scopusOperational solar forecasting for grid integration: Standards, challenges, and outlook
ReviewAbstract: The interactions between solar forecasting strategies and grid codes have a profound impact on gridPalabras claves:China grid-integration policy, Forecast downscaling, grid integration, Hierarchical forecasting, pbkp_redictabilityAutores:Dazhi Yang, Li W., 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:scopusReconciling solar forecasts: Sequential reconciliation
ArticleAbstract: When forecasting hierarchical photovoltaic (PV) power generation in a region and/or over several forPalabras claves:Forecast reconciliation, Numerical weather pbkp_rediction, Operational forecastingAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopus