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2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC(1)
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scopus(9)
Automatic hourly solar forecasting using machine learning models
ArticleAbstract: Owing to its recent advance, machine learning has spawned a large collection of solar forecasting woPalabras claves:Automatic machine learning, Solar forecasting, R caret packageAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopusCan 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:scopusNovel forecast-based dispatch strategy optimization for PV hybrid systems in real time
ArticleAbstract: This paper proposes a new method to optimize the scheduling of off-grid systems composed of solar paPalabras claves:forecasting, PV-battery-diesel hybrid systems, Real-Time Simulator, Scheduling optimizationAutores:Carlos David Rodríguez-Gallegos, Gandhi O., Manuel S. Alvarez-Alvarado, Reindl T., Sanjib Kumar Panda, Srinivasan D., Vinayagam L., 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:scopusUsing Combinational Methods for Forecast Improvement in PV Power Plants
Conference ObjectAbstract: Power generation based on photovoltaic systems are one of the crucial energy resources of the futurePalabras claves:Autores:Dazhi Yang, Monika , 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:scopusSolar Forecast Reconciliation and Effects of Improved Base Forecasts
Conference ObjectAbstract: Forecasting of solar PV generation plays an important role in power system operations. Forecasts arePalabras claves:Hierarchical forecasting, Model output statistics, Numerical weather pbkp_rediction, Reconciliation, solar forecastingAutores:Dazhi Yang, Monika , Srinivasan D., Yagli G.M.Fuentes:scopusSub-minute probabilistic solar forecasting for real-time stochastic simulations
ArticleAbstract: Simulation needs to reflect reality, otherwise, it yields misleading results that are potentially haPalabras claves:Analog ensemble, Lasso, probabilistic forecasting, solar forecasting, Stochastic simulationsAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopus