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Jean-François Toubeau
Jean-François Toubeau
PhD in Electrical Engineering, KU Leuven
Verified email at kuleuven.be
Title
Cited by
Cited by
Year
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
1562018
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
482017
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
472019
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
432020
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
372020
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
322022
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
252019
Photovoltaic integration in smart city power distribution: A probabilistic photovoltaic hosting capacity assessment based on smart metering data
V Klonari, JF Toubeau, J Lobry, F Vallée
2016 5th International Conference on Smart Cities and Green ICT Systems …, 2016
242016
Probabilistic simulation framework for balanced and unbalanced low voltage networks
V Klonari, JF Toubeau, Z De Grève, O Durieux, J Lobry, F Vallée
International Journal of Electrical Power & Energy Systems 82, 439-451, 2016
232016
Day-ahead and intraday dispatch of an integrated biomass-concentrated solar system: A multi-objective risk-controlling approach
H Khaloie, F Vallée, CS Lai, JF Toubeau, ND Hatziargyriou
IEEE Transactions on Power Systems 37 (1), 701-714, 2021
212021
Recalibration of recurrent neural networks for short-term wind power forecasting
JF Toubeau, PD Dapoz, J Bottieau, A Wautier, Z De Greve, F Vallee
Electric Power Systems Research 190, 106639, 2021
212021
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
202020
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
202020
Capturing spatio-temporal dependencies in the probabilistic forecasting of distribution locational marginal prices
JF Toubeau, T Morstyn, J Bottieau, K Zheng, D Apostolopoulou, ...
IEEE Transactions on Smart Grid 12 (3), 2663-2674, 2020
182020
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
172020
Infliximab trough levels at induction to predict treatment failure during maintenance
C Liefferinckx, C Minsart, JF Toubeau, A Cremer, L Amininejad, ...
Inflammatory bowel diseases 23 (8), 1371-1381, 2017
162017
Interpretable probabilistic forecasting of imbalances in renewable-dominated electricity systems
JF Toubeau, J Bottieau, Y Wang, F Vallée
IEEE Transactions on Sustainable Energy 13 (2), 1267-1277, 2021
152021
A new formulation of state estimation in distribution systems including demand and generation states
P Rousseaux, JF Toubeau, Z De Greve, F Vallée, M Glavic, T Van Cutsem
2015 IEEE Eindhoven PowerTech, 1-6, 2015
142015
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
132022
Improved day-ahead predictions of load and renewable generation by optimally exploiting multi-scale dependencies
JF Toubeau, J Bottieau, F Vallée, Z De Grève
2017 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia), 1-5, 2017
122017
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