3 papers
stat.ML2025
Optimal placement of wind farms via quantile constraint learning
Wenxiu Feng, Antonio Alcántara, Carlos Ruiz
Wind farm placement arranges the size and the location of multiple wind farms within a given region. The power output is highly related to the wind speed on spatial and temporal le…
eess.SY2024
Leveraging Neural Networks to Optimize Heliostat Field Aiming Strategies in Concentrating Solar Power Tower Plants
Antonio Alcántara, Pablo Diaz-Cachinero, Alberto Sánchez-González +1
Concentrating Solar Power Tower (CSPT) plants rely on heliostat fields to focus sunlight onto a central receiver. Although simple aiming strategies, such as directing all heliostat…
math.OC2022
A Neural Network-Based Distributional Constraint Learning Methodology for Mixed-Integer Stochastic Optimization
Antonio Alcántara, Carlos Ruiz
The use of machine learning methods helps to improve decision making in different fields. In particular, the idea of bridging predictions (machine learning models) and prescription…