Contributions to Conferences

The work developed by Flexanalytics has been presented in renowned national and international conferences:

  1. A. Esteban-Pérez, Y. Rychener, J.M. Morales and D. Kuhn, Data-driven distributionally robust optimization with multiple datasets:Applications to the OPF problem, INFORMS 22, Indianapolis, USA,16-19th October, 2022. presentation
  2. Á. Porras, C. Domínguez, J.M. Morales and S. Pineda, Tight and compact sample average approximation for joint chance constrained optimal power flow, INFORMS 22, Indianapolis, USA, 16-19th October, 2022. presentation
  3. A. Jiménez-Cordero, Solving mixed-integer programs with warm-starting constraint generation methods via machine learning tools, 3rd Spanish Young Statisticians and Operational Researchers Meeting (SYSORM) Elche, Spain, 21st-23rd September, 2022. presentation
  4. J.M. Morales, S. Pineda and Y. Dvorkin, Learning the price response of active distribution networks for TSO-DSO coordination, PESGM 22, Denver, USA, 17th-21st July, 2022. presentation
  5. S. Pineda, J. M. Morales, A. Jiménez-Cordero, Data-driven screening of network constraints for Unit Commitment, PESGM 22, Denver, USA, 17th-21st July, 2022. presentation
  6. J.M. Morales invited speaker at Roundtable with Forums Opportunities and challenges of conducting OR research, XXXII European Conference on Operational Research (EURO 22) Espoo, Finland, 4-7th July, 2022.
  7. A. Jiménez-Cordero Feature selection in (functional) SVM via bilevel optimization YW4OR session XXXII European Conference on Operational Research (EURO 22) Espoo, Finland, 4-7th July, 2022. presentation
  8. A. Jiménez-Cordero, J.M. Morales and S. Pineda A novel machine-learning-aided approach for warm-starting constraint generation methods in MILPs, XXXII European Conference on Operational Research (EURO 22) Espoo, Finland, 4-7th July, 2022. presentation
  9. J.M. Morales, M.Á. Muñoz and S. Pineda Value-oriented forecasting of net demand for electricity market clearing, XXXII European Conference on Operational Research (EURO 22), Espoo, Finland, 4-7th July, 2022. presentation
  10. S. Pineda and J.M. Morales, Is learning for the Unit Commitment problem a low-hanging fruit?, XXXII European Conference on Operational Research (EURO 22), Espoo, Finland, 4-7th July, 2022. presentation
  11. M.Á Muñoz, J.M. Morales and S. Pineda, A bilevel framework for decision-making under uncertainty with contextual information, European Conference on Stochastic Optimization and Computational Management Science (ECSO-CMS 22), Venice, Italy, 29-30th June 1st July, 2022. presentation
  12. Á. Porras, C. Domínguez, J.M. Morales and S. Pineda, An MIP approach to tackle the Optimal Power Flow problem with probabilistic constraints, European Conference on Stochastic Optimization and Computational Management Science (ECSO-CMS 22), Venice, Italy, 29-30th June 1st July, 2022. presentation
  13. J.M. Morales and A. Esteban-Pérez, Distributionally robust chance-constrained optimal power flow with contextual information, European Conference on Stochastic Optimization and Computational Management Science (ECSO-CMS 22), Venice, Italy, 29-30th June 1st July, 2022. presentation
  14. A. Esteban-Pérez and J.M. Morales, Distributionally robust stochastic programs with side information based on trimmings, Finalist for Best Paper Award. European Conference on Stochastic Optimization and Computational Management Science (ECSO-CMS 22), Venice, Italy, 29-30th June 1st July, 2022. presentation
  15. Á. Porras, C. Domínguez, J. M. Morales and S. Pineda, Chance-Constrained Optimization applied to the Optimal Power Flow problem: An MIP approach, XXXIX National Congress of Statistics and Operational Research and the XIII Conference on Public Statistics (SEIO 2022) Granada, Spain, 7 - 10 June, 2022. presentation
  16. S. Pineda, M. Á. Muñoz and J.M. Morales, A bilevel framework for decision-making under uncertainty with contextual information, XXXIX National Congress of Statistics and Operational Research and the XIII Conference on Public Statistics (SEIO 2022) Granada, Spain, 7 - 10 June, 2022. presentation
  17. J.M. Morales and A. Esteban-Pérez, Distributionally robust optimization with side information based on probability trimmings and optimal transport, XXXIX National Congress of Statistics and Operational Research and the XIII Conference on Public Statistics (SEIO 2022) Granada, Spain, 7 - 10 June, 2022. presentation
  18. A. Jiménez-Cordero, J.M. Morales and S. Pineda, On warm-starting constraint generation methods via machine learning tools for solving mixed-integer programs, XXXIX National Congress of Statistics and Operational Research and the XIII Conference on Public Statistics (SEIO 2022) Granada, Spain, 7 - 10 June, 2022. presentation
  19. A. Elías, J.M. Morales and S. Pineda, Functional depths in the context of functional time series, XXXIX National Congress of Statistics and Operational Research and the XIII Conference on Public Statistics (SEIO 2022) Granada, Spain, 7 - 10 June, 2022. presentation
  20. J. Huete, A. Elías, J.M. Morales and S. Pineda, Forecasting the energy consumption of multiple buildings, XXXIX National Congress of Statistics and Operational Research and the XIII Conference on Public Statistics (SEIO 2022) Granada, Spain, 7 - 10 June, 2022. presentation
  21. A. Elías, J.M. Morales and S. Pineda, Depth-based outlier detection for grouped smart meters: a functional data analysis toolbox, 14th International Conference of the ERCIM WG on Computational and Methodological Studies (CMStatistics 2021), London, UK 18 - 20 December, 2021. presentation
  22. A. Jiménez-Cordero, J.M. Morales and S. Pineda, An offline-online strategy to improve MILP performance via machine learning tools, New Bridges between Mathematics and Data Science. The Mathematical Strategic Network (Red Estratégica de Matemáticas (REM)), Valladolid, Spain, 8 - 11 November, 2021. presentation and video
  23. J.M. Morales, M. Á. Muñoz and S. Pineda Contextual merit-order dispatch under uncertain supply, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2021) Anaheim, USA, 24-27 October, 2021. presentation
  24. S. Pineda, J.M. Morales and Y. Dvorkin Learning-based coordination of transmission and distribution operations, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2021) Anaheim, USA, 24-27 October, 2021. presentation
  25. A. Porras, J. M. Morales, S. Pineda, A. Jiménez-Cordero Cost-driven screening of network constraints for the unit commitment problem, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2021) Anaheim, USA, 24-27 October, 2021. presentation
  26. A. Elias, J. M. Morales, S. Pineda Depth-based outlier detection for grouped smart meters: A functional data analysis toolbox, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2021) Anaheim, USA, 24-27 October, 2021. presentation
  27. J.M. Morales, Data-driven power systems (operations), Plenary Speaker Session, 31st European Conference on Operational Research (EURO 2021) Athens, Greece, 11 - 14 July, 2021. presentation
  28. A. Esteban-Pérez and J.M Morales, Distributionally robust optimization with side information based on probability trimmings and optimal transport, 31st European Conference on Operational Research (EURO 2021) Athens, Greece, 11 - 14 July, 2021. presentation
  29. S. Pineda, J. M. Morales and Y. Dvorkin, Learning-based coordination of transmission and distribution operations, 31st European Conference on Operational Research (EURO 2021) Athens, Greece, 11 - 14 July, 2021. presentation
  30. M.Á. Muñoz, J.M.Morales and S.Pineda, A bilevel framework for decision-making under uncertainty with contextual information, 31st European Conference on Operational Research (EURO 2021) Athens, Greece, 11 - 14 July, 2021. presentation
  31. Á. Porras, J.M. Morales, S.Pineda and A. Jiménez-Cordero, Cost-aware constraint screening for the unit commitment problem, 31st European Conference on Operational Research (EURO 2021) Athens, Greece, 11 - 14 July, 2021. presentation
  32. A. Jiménez-Cordero, J. M. Morales and S. Pineda, On improving MILP performance via machine learning tools, 31st European Conference on Operational Research (EURO 2021)Athens, Greece, 11 - 14 July, 2021. presentation
  33. S. Pineda, J.M. Morales and A. Jiménez-Cordero, Data-driven screening of network constraints for unit commitment, IEEE Power & Energy Society PowerTech Conference, Madrid, Spain, June 28 - July 2, 2021. presentation
  34. S. Pineda, R. Fernandez-Blanco and J.M. Morales, Time-adaptive unit commitment, IEEE Power & Energy Society PowerTech Conference, Madrid, Spain, June 28 - July 2, 2021. presentation
  35. 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 Power & Energy Society PowerTech Conference, Madrid, Spain, June 28 - July 2, 2021. presentation
  36. M.A. Muñoz, J.M.Morales and S.Pineda, Data-driven strategies for trading renewable energy production, IEEE Power & Energy Society PowerTech Conference, Madrid, Spain, June 28 - July 2, 2021. presentation
  37. M.Á. Muñoz, S. Pineda and J. M. Morales, Optimal strategy of a Cournot firm through profit-driven learning, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2020) (online), 7-11 November 2020. presentation and video
  38. A. Jiménez Cordero, S. Pineda and J.M. Morales, Interpretable learning in power system operations, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2020) (online), 7-11 November 2020. presentation and video
  39. 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, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2020) (online), 7-11 November 2020. presentation
  40. S. Pineda, J.M. Morales and A. Jiménez Cordero, Data-driven screening of network constraints for unit commitment, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2020) (online), 7-11 November 2020. presentation and video
  41. J.M. Morales, R. Fernández-Blanco and S. Pineda, A homothetic inverse optimization approach to forecast the price-response of a pool of buildings, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2020) (online), 7-11 November 2020. presentation and video
  42. A. Esteban-Pérez and J.M. Morales, Distributionally robust prescriptive analytics based on optimal transport, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2020) (online), 7-11 November 2020. presentation and video
  43. A. Jiménez-Cordero, J.M. Morales and S. Pineda, A novel min-max approach to select features in nonlinear SVM classification, elevator pitch – Autumn School on Bilevel Optimization, Trier University, Germany - virtual conference, 12-14 October 2020. presentation
  44. Á. Porras, R. Fernández-Blanco, J.M. Morales and S. Pineda, An efficient robust approach to the day-ahead operation of electric vehicles, elevator pitch – Autumn School on Bilevel Optimization, Trier University, Germany - virtual conference, 12-14 October 2020. presentation
  45. M.Á. Muñoz , J.M. Morales and S. Pineda, A bilevel framework for decision-making under uncertainty with contextual information, elevator pitch – Autumn School on Bilevel Optimization, Trier University, Germany - virtual conference, 12-14 October 2020. presentation
  46. A. Jiménez-Cordero, J. M. Morales, and S. Pineda, A min-max approach to feature selection for nonlinear SVM classification, V Congreso de Jóvenes Investigadores La Real Sociedad Matemática Española (RSME) Castellón, Spain, 27th-31st January 2020. presentation
  47. A. Esteban-Pérez and J. M. Morales, Data-driven distributionally robust optimization via optimal transport with order cone constraints, Jornada científica IMUS-UMA, Sevilla, Spain, 29th November 2019.
  48. R. Fernández-Blanco, Á. Porras, S. Pineda, and J. M. Morales, A data-driven forecasting model for an aggregator of electric vehicles via inverse optimization, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2019) Seattle, USA, 20th-23rd October 2019.
  49. S. Pineda, R. Fernández-Blanco, and J. M. Morales, Time-adaptive unit commitment, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2019) Seattle, USA, 20-23rd October 2019.
  50. S. Wogrin, D. Tejada-Arango, S. Pineda, and J. M. Morales, Analyzing time period aggregation methods for power system investment and operation models with renewables and storage, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2019) Seattle, USA, 20th-23rd October 2019.
  51. J. M. Morales, M. Á. Muñoz, and S. Pineda, A mathematical optimization approach to enhanced renewable energy forecasting and trading, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2019) Seattle, USA, 20th-23rd October 2019.
  52. Á. Porras, R. Fernández-Blanco, J. M. Morales, and S. Pineda, Day-ahead operation of an aggregator of electric vehicles via optimization under uncertainty, 2nd International Conference on Smart Energy Systems and Technologies (SEST), Porto, Portugal, 9th-11th September 2019.
  53. A. Esteban-Pérez and J. M. Morales, Data-driven distributionally robust optimization via optimal transport with order cone constraints, The XV International Conference on Stochastic Programming (ICSP XV), Trondheim, Norway, 29th July-2nd August 2019.
  54. R. Fernández-Blanco, J. M. Morales, and S. Pineda, How can smart buildings be price-responsive?, 13th IEEE PowerTech 2019, Milano, Italy, 23rd-27th June 2019. Best paper award.
  55. S. Pineda and J. M. Morales, Efficiently solving linear bilevel programming problems using off-the-shelf optimization software, 30th European Conference on Operational Research (EURO 2019) Dublin, Ireland, 23th-26th June 2019.
  56. J. M. Morales, R. Fernández-Blanco, and S. Pineda, A fast algorithm to estimate the cost and the right-hand side parameter vectors in inverse linear optimization, 30th European Conference on Operational Research (EURO 2019) Dublin, Ireland, 23th-26th June 2019.
  57. Á. Porras, R. Fernández-Blanco, S. Pineda, and J. M. Morales, Day-ahead operation of an aggregator of electric vehicles via optimization under uncertainty, 30th European Conference on Operational Research (EURO 2019) Dublin, Ireland, 23th-26th June 2019.
  58. G. De Zotti, S. A. P. Kani, J. M. Morales and Henrik Madsen, Control-based provision of ancillary services by flexible end-users, 30th European Conference on Operational Research (EURO 2019) Dublin, Ireland, 23th-26th June 2019.
  59. M. Á. Muñoz, J. M. Morales, and S. Pineda, Data-driven strategies for trading renewable energy production, The Institute for Operations Research and the Management Sciences Annual Meeting (INFORMS 2018) Phoenix, USA, 4th-7th November 2018.
  60. A. Esteban-Pérez and J. M. Morales, Data-driven distributionally robust optimization with Wasserstein metric, moment conditions and robust constraints, 29th European Conference on Operational Research (EURO 2018) Valencia, Spain, 8th-11th July 2018.