Journal papers
Zampara, M., & Ávila, D., & Papavasiliou, A. (2025). Capacity Expansion Planning under Uncertainty subject to Adequacy Constraints. (submitted).
Ávila, D., & Papavasiliou, A., & Pavesi, M., & Viehhauser, M. (2024). Welfare Benefits of Transitioning to Co-optimization of Energy and Reserves in Europe. (submitted).
Ávila, D., & Papavasiliou, A., & Junca, M., & Exizidis, L. (2023). Applying High Performance Computing to the European Resource Adequacy Assessment. IEEE Transactions on Power Systems.
Ávila, D., & Papavasiliou, A., & Löhndorf, N. (2023). Batch Learning SDDP for Long-Term Hydrothermal Planning. IEEE Transactions on Power Systems.
Gérard, C., & Ávila, D., & Mou, Y., & Papavasiliou, A., & Chevalier, P. (2022). Comparison of priority service with multilevel demand subscription. IEEE Transactions on Smart Grid.
Ávila, D., & Papavasiliou, A., & Löhndorf, N. (2021). Parallel and Distributed Computing for Stochastic Dual Dynamic Programming. Computational Management Science.
Junca, M., & Ávila, D. (2021). On reachability of Markov chains: A long-run average approach. IEEE Transactions on Automatic Control.
PhD Thesis
Ávila, D. (2023). Optimization Under Uncertainty in Power Systems Supported by Parallel Computing.
Posters
Ávila, D. & Junca, M. (2017). Maximizing the probability of reaching a set while avoiding a forbidden set. Poster presented at INFORMS annual meeting’s poster competition, Houston, Texas.