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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: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 kriging for environmental spatial processes
Conference ObjectAbstract: Remote-sensed and reanalysis databases are valuable sources of environmental data that support a widPalabras claves:ensemble, KRIGING, solar irradiance, Solar resources, Spatio-temporal processAutores:Dazhi Yang, Tay J.W.E., 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: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: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:scopusQuality Control for Solar Irradiance Data
Conference ObjectAbstract: With the advent of sensing technology, high-resolution data have become ubiquitous among various smaPalabras claves:BSRN, Quality control, solar irradianceAutores:Dazhi Yang, Quan H., 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:scopusThe value of solar forecasts and the cost of their errors: A review
ReviewAbstract: Despite the advances in solar forecasting methods, and their ever-increasing accuracy, little is knoPalabras claves:electricity market, photovoltaic System, power system, Solar forecast errors, solar forecastingAutores:Carlos David Rodríguez-Gallegos, Dazhi Yang, Gandhi O., Reindl T., Sampath Kumar D., Srinivasan D., Yagli G.M., Zhang W.Fuentes:scopus