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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:scopusA correct validation of the National Solar Radiation Data Base (NSRDB)
ArticleAbstract: The physical solar model (PSM) data from the National Solar Radiation Data Base offers half-hourly aPalabras claves:NSRDB, Physical solar model, Satellite-derived irradiance, SURFRADAutores:Dazhi YangFuentes:scopusA review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
ReviewAbstract: The ability to forecast solar irradiance plays an indispensable role in solar power forecasting, whiPalabras claves:Atmospheric sciences, Carbon neutrality, grid integration, Power systems, Review, solar forecastingAutores:Bright J.M., Dazhi Yang, Gueymard C.A., Hong T., Huang J., Kleissl J., Perez M.J., Perez R., Peters I.M., van der Meer D., Wang W., Xia X.Fuentes:scopusCorrelogram, pbkp_redictability error growth, and bounds of mean square error of solar irradiance forecasts
ArticleAbstract: Solar forecast verification must incorporate a notion of “relativity.” Particularly for deterministiPalabras claves:Bounds of MSE, ECMWF, Forecast verification, pbkp_redictability, solar forecasting, solar irradianceAutores:Dazhi YangFuentes: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:scopusEstimating 1-min beam and diffuse irradiance from the global irradiance: A review and an extensive worldwide comparison of latest separation models at 126 stations
ReviewAbstract: Separation models, which are used to split beam and diffuse irradiance components from the global onPalabras claves:Benchmarking data, Diffuse radiation, Review, Separation modeling, Solar radiation modeling, Worldwide validationAutores:Dazhi YangFuentes:scopusPairing ensemble numerical weather pbkp_rediction with ensemble physical model chain for probabilistic photovoltaic power forecasting
ArticleAbstract: Under the two-step framework of photovoltaic (PV) power forecasting, that is, forecasting first thePalabras claves:ECMWF, Ensemble NWP, Photovoltaic power, Physical model chains, Probabilistic solar forecasting, Quantile regressionAutores:Dazhi Yang, Mayer M.J.Fuentes:scopusIrradiance-to-power conversion based on physical model chain: An application on the optimal configuration of multi-energy microgrid in cold climate
ArticleAbstract: This article is primarily concerned with the optimal configuration of multi-energy microgrid in coldPalabras claves:Energy hub, Irradiance-to-power conversion, Model chain, Multi-energy microgrid, ReproducibilityAutores:Dazhi Yang, Han X., Huang N., Lyu C., Wang W., Zhang G.Fuentes:scopusProbabilistic photovoltaic power forecasting using a calibrated ensemble of model chains
ArticleAbstract: Physical model chain is a step-by-step modeling framework for the conversion of irradiance to photovPalabras claves:Irradiance-to-power conversion, Photovoltaic power, Physical model chains, Probabilistic solar forecasting, Quantile regressionAutores:Dazhi Yang, Mayer M.J.Fuentes:scopusProbabilistic solar irradiance transposition models
ArticleAbstract: Transposition models convert the solar irradiance received on a horizontal surface to in-plane irradPalabras claves:pbkp_rediction interval, Pbkp_redictive distribution, Probabilistic transposition model, Solar radiation modelingAutores:Dazhi Yang, Quan H.Fuentes:scopus