| Wasserstein distributionally robust chance-constrained optimization for energy and reserve dispatch: An exact and physically-bounded formulation A Arrigo, C Ordoudis, J Kazempour, Z De Grève, JF Toubeau, F Vallée European Journal of Operational Research 296 (1), 304-322, 2022 | 47 | 2022 |
| Coordination of electricity, heat, and natural gas systems accounting for network flexibility A Schwele, A Arrigo, C Vervaeren, J Kazempour, F Vallée Electric Power Systems Research 189, 106776, 2020 | 27 | 2020 |
| Machine learning techniques for improving self-consumption in renewable energy communities ZD Grève, J Bottieau, D Vangulick, A Wautier, PD Dapoz, A Arrigo, ... Energies 13 (18), 4892, 2020 | 26 | 2020 |
| Optimal power flow under uncertainty: An extensive out-of-sample analysis A Arrigo, C Ordoudis, J Kazempour, Z De Grève, JF Toubeau, F Vallée 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019 | 13 | 2019 |
| Embedding dependencies between wind farms in distributionally robust optimal power flow A Arrigo, J Kazempour, Z De Grève, JF Toubeau, F Vallée IEEE Transactions on Power Systems, 2022 | 6 | 2022 |
| Enhanced Wasserstein distributionally robust OPF with dependence structure and support information A Arrigo, J Kazempour, Z De Grève, JF Toubeau, F Vallée 2021 IEEE Madrid PowerTech, 1-6, 2021 | 6 | 2021 |
| Day-ahead energy and reserve dispatch problem under non-probabilistic uncertainty K Shariatmadar, A Arrigo, F Vallée, H Hallez, L Vandevelde, D Moens Energies 14 (4), 1016, 2021 | 6 | 2021 |
| Embedding dependencies within distributionally robust optimization of modern power systems A Arrigo, J Kazempour, Z De Grève, JF Toubeau, F Vallée arXiv e-prints, arXiv: 2104.08101, 2021 | 2 | 2021 |
| Embedding dependencies between wind farms in uncertainty-aware optimal power flow A Arrigo, J Kazempour, Z De Grève, JF Toubeau, F Vallée arXiv preprint arXiv:2104.08101, 2021 | 1 | 2021 |
| Affine and Exact Reformulations of Uncertainty-Aware Energy and Reserve Dispatch ER Irusta, A Arrigo, Z De Greve 2023 IEEE Belgrade PowerTech, 1-1, 2023 | | 2023 |
| Machine Learning for Improved Gas Network Models in Coordinated Energy Systems A Arrigo, M Dolányi, K Bruninx, JF Toubeau arXiv preprint arXiv:2209.12731, 2022 | | 2022 |
| Advanced Uncertainty-and Physics-Aware Optimization for Energy Systems Operation A Arrigo | | 2022 |
| Distributionally Robust Power and Gas Dispatch with Multivariate and Correlated Uncertainty A Arrigo, JF Toubeau, I Fattahi, Z De Grève, F Vallée 2022 17th International Conference on Probabilistic Methods Applied to Power …, 2022 | | 2022 |
| A Distributionally Robust Framework for Improving the Provision of Passive Balancing Services J Bottieau, A Arrigo, Z De Grève, F Vallée, JF Toubeau 2021 IEEE Madrid PowerTech, 1-6, 2021 | | 2021 |
| Day-Ahead Energy and Reserve Dispatch Problem under Non-Probabilistic Uncertainty. Energies 2021, 14, 1016 K Shariatmadar, A Arrigo, F Vallée, H Hallez, L Vandevelde, D Moens s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| DA-Energy and Reserve Dispatch Problem Under Non-Probabilistic Uncertainty. Energies 2021, 14, 1067506 K Shariatmadar, A Arrigo, F Vallée, H Hallez, L Vandevelde, D Moens IEEE Transactions on Power Systems 14, 1010-1020, 1999 | | 1999 |
| A Technical Survey on Optimal Power Flow Under Uncertainty: An Extensive Out-of-Sample Analysis A Arrigo, C Ordoudis, J Kazempour, Z De Grève, JF Toubeau, F Vallée | | |
