Journal papers

The project FlexAnalytics has produced several research papers, which have been published in high-impact journals:

  1. A. Esteban-Pérez and J.M. Morales, Distributionally Robust Stochastic Programs with Side Information Based on Trimmings, Mathematical Programming, vol. 195, no. 1, pp. 1069–1105, November, 2022.
  2. A. Esteban-Pérez and J.M. Morales, Distributionally Robust Optimal Power Flow with Contextual Information, European Journal of Operational Research` vol. 305, no. 1, pp.O.A, October, 2022.
  3. A. Jiménez-Cordero, J.M. Morales and S. Pineda, Warm-starting Constraint Generation for Mixed-integer Optimization: A Machine Learning Approach, Knowledge-Based Systems vol. 253, pp.109570, October, 2022.
  4. A. Porras, S. Pineda, J.M. Morales and A. Jimenez-Cordero, Cost-driven Screening of Network Constraints for the Unit Commitment Problem IEEE Transactions on Power Systems, (EA) pp. 1–1 March, 2022.
  5. S. Pineda and J.M. Morales, Is Learning for the Unit Commitment Problem a Low-hanging Fruit? Electric Power Systems Research, (EA) vol. 207, pp. 107851, June, 2022.
  6. M. A. Muñoz, S. Pineda and J.M. Morales, A Bilevel Framework for Decision-making Under Uncertainty with Contextual Information, Omega, (EA) vol. 108, pp. 102575, April, 2022.
  7. R. Fernández-Blanco, J.M. Morales, S. Pineda and Á. Porras, Inverse Optimization with Kernel Regression: Application to The Power Forecasting and Bidding Of A Fleet Of Electric Vehicles, Computer and Operations Research, vol. 134, pp. 105405, October 2021.
  8. A. Jiménez-Cordero, J.M. Morales and S. Pineda, A Novel Embedded Min-Max Approach for Feature Selection in Nonlinear Support Vector Machine Classification, European Journal of Operations Research, vol. 293, no. 1, pp. 24–35, August 2021.
  9. A. Esteban-Pérez and J.M. Morales, Partition-based Distributionally Robust Optimization via Optimal Transport with Order Cone Constraints, 4OR A Quarterly Journal of Operations Research, June 2021.
  10. R. Fernández-Blanco, J.M. Morales and S. Pineda, Forecasting the Price-response of a Pool of Buildings via Homothetic Inverse Optimization, Applied Energy vol. 290, pp.116791, May 2021.
  11. S. Pineda, J.M. Morales and A. Jiménez-Cordero, Data-Driven Screening of Network Constraints for Unit Commitment, IEEE Transactions on Power Systems, vol. 35, no. 5, pp. 3695–3705, September 2020.
  12. M. A. Muñoz, J.M. Morales, and S. Pineda, Feature-driven Improvement of Renewable Energy Forecasting and Trading, IEEE Transactions on Power Systems, vol. 35, no. 5, pp. 3753–3763, September 2020.
  13. Á. Porras, R. Fernández-Blanco, J.M. Morales and S. Pineda, An Efficient Robust Approach to the Day-ahead Operation of an Aggregator of Electric Vehicles, IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 4960–4970, June 2020.
  14. S. Pineda, R. Fernández-Blanco and J.M. Morales, Time-Adaptive Unit Commitment, IEEE Transactions on Power Systems, vol. 34, no. 5, pp. 3869–3878, September 2019.
  15. S. Pineda and J.M. Morales, Solving Linear Bilevel Problems Using Big-Ms: Not All That Glitters Is Gold, IEEE Transactions on Power Systems, vol. 34, no. 3, pp. 2469–2471, May 2019.