| An efficient robust approach to the day-ahead operation of an aggregator of electric vehicles Á Porras, R Fernández-Blanco, JM Morales, S Pineda IEEE Transactions on Smart Grid 11 (6), 4960-4970, 2020 | 24 | 2020 |
| Cost-driven Screening of Network Constraints for the Unit Commitment Problem Á Porras, S Pineda, JM Morales, A Jiménez-Cordero IEEE Transactions on Power Systems, 2022 | 10 | 2022 |
| Inverse optimization with kernel regression: Application to the power forecasting and bidding of a fleet of electric vehicles R Fernández-Blanco, JM Morales, S Pineda, Á Porras Computers & Operations Research 134, 105405, 2021 | 10 | 2021 |
| Tight and compact sample average approximation for joint chance-constrained problems with applications to optimal power flow Á Porras, C Domínguez, JM Morales, S Pineda INFORMS Journal on Computing 35 (6), 1454-1469, 2023 | 9* | 2023 |
| Day-ahead operation of an aggregator of electric vehicles via optimization under uncertainty AP Cabrera, R Fernández-Blanco, JM Morales, S Pineda 2019 International Conference on Smart Energy Systems and Technologies (SEST …, 2019 | 7 | 2019 |
| Learning-based Improvement in State Estimation for Unobservable Systems JG De la Varga, S Pineda, JM Morales, Á Porras arXiv preprint arXiv:2307.16822, 2023 | | 2023 |
| Tight Big-Ms for Optimal Transmission Switching S Pineda, JM Morales, Á Porras, C Domínguez arXiv preprint arXiv:2306.02784, 2023 | | 2023 |
| Integrating Automatic and Manual Reserves in Optimal Power Flow via Chance Constraints Á Porras, L Roald, JM Morales, S Pineda arXiv preprint arXiv:2303.05412, 2023 | | 2023 |
| Optimal power flow under uncertainty C Domínguez, Á Porras, S Pineda, JM Morales Elsevier, 2023 | | 2023 |
Juan Miguel Morales GonzálezFull Professor (UMA)Dirección de correo verificada de uma.es
