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Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types.

, , , , , and . Appl. Soft Comput., (2021)

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Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques., , , , and . Remote. Sens., 15 (9): 2328 (May 2023)A combination of supervised dimensionality reduction and learning methods to forecast solar radiation., , , and . Appl. Intell., 53 (11): 13053-13066 (June 2023)Predicting Global Irradiance Combining Forecasting Models Through Machine Learning., , , , , and . HAIS, volume 10870 of Lecture Notes in Computer Science, page 622-633. Springer, (2018)Using a Multi-view Convolutional Neural Network to monitor solar irradiance., , , , and . Neural Comput. Appl., 34 (13): 10295-10307 (2022)Optimal management of wind and solar energy resources., , , and . Comput. Oper. Res., (2016)Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types., , , , , and . Appl. Soft Comput., (2021)The Impact of the NAO on the Solar and Wind Energy Resources in the Mediterranean Area, , , , and . Hydrological, Socioeconomic and Ecological Impacts of the North Atlantic Oscillation in the Mediterranean Region, volume 46 of Advances in Global Change Research, Springer Netherlands, (2011)