| Deep learning-based multivariate probabilistic forecasting for short-term scheduling in power markets JF Toubeau, J Bottieau, F Vallée, Z De Grève IEEE Transactions on Power Systems 34 (2), 1203-1215, 2018 | 207 | 2018 |
| Incentive-compatibility in a two-stage stochastic electricity market with high wind power penetration L Exizidis, J Kazempour, A Papakonstantinou, P Pinson, Z De Greve, ... IEEE Transactions on Power Systems 34 (4), 2846-2858, 2019 | 71 | 2019 |
| Very-short-term probabilistic forecasting for a risk-aware participation in the single price imbalance settlement J Bottieau, L Hubert, Z De Grève, F Vallée, JF Toubeau IEEE Transactions on Power Systems 35 (2), 1218-1230, 2019 | 67 | 2019 |
| Data-driven scheduling of energy storage in day-ahead energy and reserve markets with probabilistic guarantees on real-time delivery JF Toubeau, J Bottieau, Z De Grève, F Vallée, K Bruninx IEEE Transactions on Power Systems 36 (4), 2815-2828, 2020 | 65 | 2020 |
| Medium-term multimarket optimization for virtual power plants: A stochastic-based decision environment JF Toubeau, Z De Grève, F Vallée IEEE Transactions on Power Systems 33 (2), 1399-1410, 2017 | 65 | 2017 |
| A new cooperative framework for a fair and cost-optimal allocation of resources within a low voltage electricity community M Hupez, JF Toubeau, Z De Grève, F Vallée IEEE Transactions on Smart Grid 12 (3), 2201-2211, 2020 | 62 | 2020 |
| 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 | 60 | 2022 |
| Long-term planning of connected industrial microgrids: A game theoretical approach including daily peer-to-microgrid exchanges C Stevanoni, Z De Grève, F Vallée, O Deblecker IEEE Transactions on Smart Grid 10 (2), 2245-2256, 2018 | 58 | 2018 |
| Robust optimization for hydroelectric system operation under uncertainty D Apostolopoulou, Z De Grève, M McCulloch IEEE Transactions on Power Systems 33 (3), 3337-3348, 2018 | 46 | 2018 |
| Impact of public aggregate wind forecasts on electricity market outcomes L Exizidis, J Kazempour, P Pinson, Z De Grève, F Vallée IEEE Transactions on Sustainable Energy 8 (4), 1394-1405, 2017 | 45 | 2017 |
| Numerical modeling of capacitive effects in HF multiwinding transformers—Part II: Identification using the finite-element method Z De Greve, O Deblecker, J Lobry IEEE transactions on magnetics 49 (5), 2021-2024, 2013 | 41 | 2013 |
| Analytical design of an axial flux permanent magnet in-wheel synchronous motor for electric vehicle C Versele, Z De Greve, F Vallee, R Hanuise, O Deblecker, M Delhaye, ... 2009 13th European Conference on Power Electronics and Applications, 1-9, 2009 | 41 | 2009 |
| Sharing wind power forecasts in electricity markets: A numerical analysis L Exizidis, SJ Kazempour, P Pinson, Z De Grève, F Vallée Applied Energy 176, 65-73, 2016 | 37 | 2016 |
| Numerical modeling of capacitive effects in HF multiwinding transformers—Part I: A rigorous formalism based on the electrostatic equations Z De Greve, O Deblecker, J Lobry IEEE transactions on magnetics 49 (5), 2017-2020, 2013 | 36 | 2013 |
| Chance-constrained scheduling of underground pumped hydro energy storage in presence of model uncertainties JF Toubeau, Z De Grève, P Goderniaux, F Vallée, K Bruninx IEEE Transactions on Sustainable Energy 11 (3), 1516-1527, 2019 | 35 | 2019 |
| Recalibration of recurrent neural networks for short-term wind power forecasting JF Toubeau, PD Dapoz, J Bottieau, A Wautier, Z De Greve, F Vallée Electric Power Systems Research 190, 106639, 2021 | 32 | 2021 |
| An advanced day-ahead bidding strategy for wind power producers considering confidence level on the real-time reserve provision SA Hosseini, JF Toubeau, Z De Grève, F Vallée Applied energy 280, 115973, 2020 | 32 | 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 | 30 | 2020 |
| Deep reinforcement learning-based voltage control to deal with model uncertainties in distribution networks JF Toubeau, B Bakhshideh Zad, M Hupez, Z De Grève, F Vallée Energies 13 (15), 3928, 2020 | 30 | 2020 |
| Machine learning-assisted outage planning for maintenance activities in power systems with renewables JF Toubeau, L Pardoen, L Hubert, N Marenne, J Sprooten, Z De Grève, ... Energy 238, 121993, 2022 | 29 | 2022 |
