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Solar Energy(4)
Renewable and Sustainable Energy Reviews(3)
International Conference on Innovative Smart Grid Technologies, ISGT Asia 2018(2)
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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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: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:scopusOn pbkp_redictability of solar irradiance
ArticleAbstract: Fair forecast comparisons are exceedingly rare in the literature of solar forecasting. Since many puPalabras claves:Autores:Bright J.M., Dazhi Yang, Wang P., Yagli G.M., Yang X.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: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:scopus