Research

Publications

1. Alcántara, A., Galván, I.M., & Aler, R. (2022). Deep Neural Networks for Quantile Estimation of Renewable Regional Energy Production. Applied Intelligence. doi:10.1007/s10489-022-03958-7
2. Alcántara, A., Galván, I.M., & Aler, R. (2022). Direct Estimation of Prediction Intervals for Solar and Wind Regional Energy Forecasting with Deep Neural Networks. Engineering Applications of Artificial Intelligence, 114. doi:10.1016/j.engappai.2022.105128
3. Alcántara, A., Galván, I. M., & Aler, R. (2023). Pareto Optimal Prediction Intervals with Hypernetworks. Applied Soft Computing, 109930. doi:10.1016/j.asoc.2022.109930
4. Alcántara, A., & Ruiz, C. (2023). On data-driven chance constraint learning for mixed-integer optimization problems. Applied Mathematical Modelling, 121. doi:10.1016/j.apm.2023.04.032
5. Alcántara, A., & Ruiz, C. (2023). A Neural Network-Based Distributional Constraint Learning Methodology for Mixed-Integer Stochastic Optimization. Expert Systems with Applications, 120895. doi:10.1016/j.eswa.2023.120895

Working papers

• Alcántara, A., & Ruiz, C. (2022). Optimal day-ahead offering strategy for large producers based on market price response learning. arXiv preprint arXiv:2204.11672.
• Alcántara, A., Ruiz, C., & Tsay, C. (2024). A Quantile Neural Network Framework for Two-stage Stochastic Optimization. arXiv preprint arXiv:2403.11707.

Work in progress