Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks A Alcántara, IM Galván, R Aler Engineering Applications of Artificial Intelligence 114, 105128, 2022 | 29 | 2022 |
Deep neural networks for the quantile estimation of regional renewable energy production A Alcantara, IM Galván, R Aler Applied Intelligence 53 (7), 8318-8353, 2023 | 17 | 2023 |
On data-driven chance constraint learning for mixed-integer optimization problems A Alcántara, C Ruiz Applied Mathematical Modelling 121, 445-462, 2023 | 7 | 2023 |
A neural network-based distributional constraint learning methodology for mixed-integer stochastic optimization A Alcántara, C Ruiz Expert Systems with Applications 232, 120895, 2023 | 6 | 2023 |
Optimal day-ahead offering strategy for large producers based on market price response learning A Alcántara, C Ruiz European Journal of Operational Research 319 (3), 891-907, 2024 | 4 | 2024 |
A Quantile Neural Network Framework for Two-stage Stochastic Optimization A Alcántara, C Ruiz, C Tsay arXiv preprint arXiv:2403.11707, 2024 | 3 | 2024 |
Pareto optimal prediction intervals with hypernetworks A Alcántara, IM Galván, R Aler Applied Soft Computing 133, 109930, 2023 | 2 | 2023 |
Leveraging Neural Networks to Optimize Heliostat Field Aiming Strategies in Concentrating Solar Power Tower Plants A Alcántara, P Diaz-Cachinero, A Sánchez-González, C Ruiz arXiv preprint arXiv:2412.16995, 2024 | | 2024 |