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scopus(21)
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:scopusBig data analytics for empowering milk yield pbkp_rediction in dairy supply chains
Conference ObjectAbstract: Accurate pbkp_rediction of daily milk production is a crucial aspect of the dairy industry. During tPalabras claves:Big Data Analytics, Milk Yield Pbkp_rediction, What-if AanalysisAutores:Akcan O., Chen X., Dazhi Yang, Lim J., Yan W.J.Fuentes:scopusAn ultra-fast way of searching weather analogs for renewable energy forecasting
ArticleAbstract: Analogs—weather patterns that highly resemble each other—have been widely adopted by the meteorologyPalabras claves:Analog, ensemble, forecasting, Similarity SearchAutores:Alessandrini S., Dazhi YangFuentes:scopusA Global Database for Quantifying Pbkp_redictability of Solar Irradiance
Conference ObjectAbstract: Solar forecast is an essential subject in many engineering and geophysical fields. It is well knownPalabras claves:Database, Skill Score, solar forecastingAutores:Dazhi Yang, Wang P., Yang X.Fuentes:scopusA Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids
ReviewAbstract: The high penetration level of renewable energy is thought to be one of the basic characteristics ofPalabras claves:computational intelligence, Decision-making, Neural Network (NN), pbkp_rediction interval (PI), uncertainty quantification, Wind powerAutores:Dazhi Yang, Khosravi A., Quan H., Srinivasan D.Fuentes:scopusDeep learning solution for intra-day solar irradiance fore casting in tropical high variability regions
Conference ObjectAbstract: Located on the Equator, Singapore has one of the most challenging climate for solar irradiance forecPalabras claves:Autores:Dazhi Yang, Dong Z., Yan J., Yu C.Fuentes:scopusGraph-based analysis of resource dependencies in project networks
Conference ObjectAbstract: It is a challenge to visualize high dimensional data such as project data to yield new and interestiPalabras claves:graph layout algorithm, graph visualization, Information Visualization, PERT, project managementAutores:Choi B.G., Dazhi Yang, Ertek G., Xu C., Yong O.B.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:scopusOn post-processing day-ahead NWP forecasts using Kalman filtering
ArticleAbstract: Kalman filtering is an important concept in engineering and statistics. In the field of solar forecaPalabras claves:Kalman filter, NWP, Post-processing, solar forecastingAutores: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:scopus