Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks. - Antonio Alcántara; Inés María Galván; Ricardo Aler (Eng. Appl. Artif. Intell., 2022)

Pareto Optimal Prediction Intervals with Hypernetworks. - Antonio Alcántara; Inés María Galván; Ricardo Aler (Appl. Soft Comput., 2023)

Deep neural networks for the quantile estimation of regional renewable energy production. - Antonio Alcántara; Inés María Galván; Ricardo Aler (Appl. Intell., 2023)

A neural network-based distributional constraint learning methodology for mixed-integer stochastic optimization. - Antonio Alcántara; Carlos Ruiz (Expert Syst. Appl., 2023)

Leveraging Neural Networks to Optimize Heliostat Field Aiming Strategies in Concentrating Solar Power Tower Plants. - Antonio Alcántara; Pablo Diaz-Cachinero; Alberto Sánchez-González; Carlos Ruiz (CoRR, 2024)

Optimal day-ahead offering strategy for large producers based on market price response learning. - Antonio Alcántara; Carlos Ruiz (Eur. J. Oper. Res., 2024)

A quantile neural network framework for two-stage stochastic optimization. - Antonio Alcántara; Carlos Ruiz; Calvin Tsay (Expert Syst. Appl., 2025)