sample of publications

• articles 

  • A neural network-based distributional constraint learning methodology for mixed-integer stochastic optimization.  EXPERT SYSTEMS WITH APPLICATIONS.  232. 2023
  • On data-driven chance constraint learning for mixed-integer optimization problems.  APPLIED MATHEMATICAL MODELLING.  121:445-462. 2023
  • Pareto optimal prediction intervals with hypernetworks.  APPLIED SOFT COMPUTING.  133:1-14. 2023
  • Direct estimation of prediction intervals for solar and wind regional energy forecasting with deep neural networks.  ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE.  114. 2022
  • Deep neural networks for the quantile estimation of regional renewable energy production.  APPLIED INTELLIGENCE.  53:8318-8353. 2022

• working papers 

  • A Quantile Neural Network Framework for Two-stage Stochastic Optimization 2024
  • A Neural Network-Based Distributional Constraint Learning Methodology for Mixed-Integer Stochastic Optimization 2022
  • On data-driven chance constraint learning for mixed-integer optimization problems 2022
  • Optimal day-ahead offering strategy for large producers based on market price response learning 2022