Journal papers

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

  1. Á. Porras, C. Domínguez, J.M. Morales and S. Pineda (2023). Tight and Compact Sample Average Approximation for Joint Chance Constrained Optimal Power Flow, INFORMS Journal On Computing, 35(6): 1454 - 1469.
  2. C. Domínguez, Álvaro Porras, S. Pineda and J.M. Morales (2023). Optimal Power Flow Under Uncertainty, book chapter Encyclopedia of Electrical and Electronic Power Engineering ISBN: 978-0-12-823211-8: 765-776.
  3. A. Esteban-Pérez and J.M. Morales (2023) Distributionally Robust Optimal Power Flow with Contextual Information, European Journal of Operational Research, 305(1): 1047-1058.
  4. Á. Porras, S. Pineda, J.M. Morales and A. Jimenez-Cordero (2023). Cost-driven Screening of Network Constraints for the Unit Commitment Problem, IEEE Transactions on Power Systems, 38(1):42-51.
  5. A. Elías, J. M. Morales and S. Pineda (2022). A High Dimensional Functional Time Series Approach to Evolution Outlier Mining for Grouped Smart Meters, Quality Engineering, (EA) 1-17, 2022. code
  6. J.M. Morales, M.Á. Muñoz and S. Pineda, Prescribing Net Demand for Two-stage Electricity Generation Scheduling, Operations Research Perspectives, vol. 10, pp. 100268, 2023.
  7. 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.
  8. 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.
  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, vol. 20, no. 3, pp. 465–497, September, 2022.
  10. 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.
  11. M. Á. 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. Best Paper Award Omega 2022
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. M.Á. 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.
  17. 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.
  18. 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.
  19. 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.