A Flexible and Robust Deep Learning-Based System for Solar Irradiance Forecasting. - Ignacio-Iker Prado-Rujas; Antonio García Dopico; Emilio Serrano; María S. Pérez 001 (IEEE Access, 2021)

Distributed training and inference of deep learning solar energy forecasting models. - Javier Campoy; Ignacio-Iker Prado-Rujas; José Luis Risco-Martín; Katzalin Olcoz; María S. Pérez 001 (PDP, 2023)

Combining heterogeneous data sources for spatio-temporal mobility demand forecasting. - Ignacio-Iker Prado-Rujas; Emilio Serrano; Antonio García Dopico; M. Luisa Córdoba; María S. Pérez 001 (Inf. Fusion, 2023)

A multivariable sensor-agnostic framework for spatio-temporal air quality forecasting based on Deep Learning. - Ignacio-Iker Prado-Rujas; Antonio García Dopico; Emilio Serrano; M. Luisa Córdoba; María S. Pérez 001 (Eng. Appl. Artif. Intell., 2024)

Advanced simulation-based predictive modelling for solar irradiance sensor farms. - José L. Risco-Martín; Ignacio-Iker Prado-Rujas; Javier Campoy; María S. Pérez 001; Katzalin Olcoz (J. Simulation, 2025)