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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:scopusEnsemble solar forecasting and post-processing using dropout neural network and information from neighboring satellite pixels
ArticleAbstract: Ensemble weather forecasts are often found to be under-dispersed and biased. Post-processing using sPalabras claves:Dropout neural network, Ensemble solar forecasting, Machine learning, Monte Carlo sampling, Post-processing, Satellite-derived irradianceAutores:Dazhi Yang, Srinivasan D., Yagli G.M.Fuentes:scopusLevelised cost of PV integration for distribution networks
ArticleAbstract: High and continuously increasing photovoltaic (PV) penetration in distribution network introduces maPalabras claves:DISTRIBUTION NETWORK, Energy storage, Levelised cost of PV integration, Overvoltage problem, photovoltaic System, power system economics, PV curtailment, reactive powerAutores:Carlos David Rodríguez-Gallegos, Gandhi O., Reindl T., Srinivasan D., Zhang W.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