Predicting Global Irradiance Combining Forecasting Models Through Machine Learning. - Javier Huertas-Tato; Ricardo Aler; Francisco J. Rodríguez-Benítez; Clara Arbizu-Barrena; David Pozo-Vázquez; Inés María Galván (HAIS, 2018)

Evolutionary-based prediction interval estimation by blending solar radiation forecasting models using meteorological weather types. - Inés María Galván; Javier Huertas-Tato; Francisco J. Rodríguez-Benítez; Clara Arbizu-Barrena; David Pozo-Vázquez; Ricardo Aler (Appl. Soft Comput., 2021)

Using a Multi-view Convolutional Neural Network to monitor solar irradiance. - Javier Huertas-Tato; Inés María Galván; Ricardo Aler; Francisco J. Rodríguez-Benítez; David Pozo-Vázquez (Neural Comput. Appl., 2022)

Improving Solar Radiation Nowcasts by Blending Data-Driven, Satellite-Images-Based and All-Sky-Imagers-Based Models Using Machine Learning Techniques. - Miguel López-Cuesta; Ricardo Aler; Inés María Galván; Francisco J. Rodríguez-Benítez; David Pozo-Vázquez (Remote. Sens., 2023)