 | Bottieau, J., De Grève, Z., Piraux, T., Dubois, A., Vallée, F., & Toubeau, J.-F. (November 2022). A cross-learning approach for cold-start forecasting of residential photovoltaic generation. Electric Power Systems Research, 212, 108415. doi:10.1016/j.epsr.2022.108415  Peer Reviewed verified by ORBi |
| Toubeau, J.-F., Bottieau, J., Wang, Y., & Vallée, F. (23 April 2022). Interpretable Probabilistic Forecasting of Imbalances in Renewable-Dominated Electricity Systems. IEEE Transactions on Sustainable Energy, 13 (2), 1267-1277. Peer Reviewed verified by ORBi |
Bottieau, J., De Grève, Z., Vallée, F., & Toubeau, J.-F. (2022). Interpréter les prédictions de séries temporelles obtenues à l'aide d'un modèle de type Transformer : une étude portant sur les prix de déséquilibre des marchés de l'électricité. Paper presented at 33ème Conférence Internationale Francophone sur l'Interaction Humain-Machine, IHM 2022, Namur, Belgium. |
Bottieau, J., De Grève, Z., Piraux, T., Dubois, A., Vallée, F., & Toubeau, J.-F. (2022). A Cross-Learning Approach for Cold-Start Forecasting of Residential Photovoltaic Generation. Paper presented at 22nd IEEE Power Systems Computation Conference, PSCC 2022, Porto, Portugal. |
| Liefferinckx, C., Bottieau, J., Toubeau, J.-F., Thomas, D., Rahier, J.-F., Louis, E., Baert, F., Dewint, P., Pouillon, L., Lambrecht, G., Vallée, F., Vermeire, S., Bossuyt, P., & Franchimont, D. (10 February 2022). Collecting New Peak and Intermediate Infliximab Levels to Predict Remission in Inflammatory Bowel Diseases. Inflammatory Bowel Diseases, 28 (2), 208-217. Peer Reviewed verified by ORBi |
| Bottieau, J., Wang, Y., De Grève, Z., Vallée, F., & Toubeau, J.-F. (2022). Interpretable Transformer Model for Capturing Regime Switching Effects of Real-Time Electricity prices. IEEE Transactions on Power Systems, 1-14. doi:10.1109/TPWRS.2022.3195970 Peer Reviewed verified by ORBi |
| Bottieau, J., Bruninx, K., Sanjab, A., De Grève, Z., Vallée, F., & Toubeau, J.-F. (11 December 2021). Automatic Risk Adjustment for Profit Maximization in Renewable Dominated Short-Term Electricity Markets. International Transactions on Electrical Energy Systems, e1352. Peer reviewed |
Bottieau, J., Arrigo, A., De Grève, Z., Vallée, F., & Toubeau, J.-F. (2021). A Distributionally Robust Framework for Improving the Provision of Passive Balancing Services. Paper presented at IEEE PowerTech 2021 International Conference, POWERTECH 2021, Madrid, Spain. |
| Toubeau, J.-F., Bottieau, J., De Grève, Z., Vallée, F., & Bruninx, K. (24 June 2021). Data-Driven Scheduling of Energy Storage in Day-Ahead Energy and Reserve Markets with Probabilistic Guarantees on Real-Time Delivery. IEEE Transactions on Power Systems, 36 (4), 2815-2828. Peer Reviewed verified by ORBi |
| Toubeau, J.-F., Morstyn, T., Bottieau, J., Zheng, K., Apostolopoulou, D., De Grève, Z., Wang, Y., & Vallée, F. (26 April 2021). Capturing Spatio-Temporal Dependencies in the Probabilistic Forecasting of Distribution Locational Marginal Prices. IEEE Transactions on Smart Grid, 12 (3), 2663-2674. Peer Reviewed verified by ORBi |
| Toubeau, J.-F., Dapoz, P.-D., Bottieau, J., Wautier, A., De Grève, Z., & Vallée, F. (01 January 2021). Recalibration of Recurrent Neural Networks for Short-Term Wind Power Forecasting. Electric Power Systems Research, 190 (January 2021), 1-7. doi:10.1016/j.epsr.2020.106639 Peer Reviewed verified by ORBi |
| De Grève, Z., Bottieau, J., Vangulick (ORES), D., Wautier, A., Dapoz, P.-D., Arrigo, A., Toubeau, J.-F., & Vallée, F. (18 September 2020). Machine Learning Techniques for Improving Self-Consumption in Renewable Energy Communities. Energies, 13 (18), 4892-4909. Peer Reviewed verified by ORBi |
| Bottieau, J., Hubert, L., De Grève, Z., Vallée, F., & Toubeau, J.-F. (26 February 2020). Very Short-Term Probabilistic Forecasting for a Risk-Aware Participation in the Single Price Imbalance Settlement. IEEE Transactions on Power Systems, 35 (2), 1218-1230. doi:10.1109/TPWRS.2019.2940756 Peer Reviewed verified by ORBi |
| Toubeau, J.-F., Iassinovski, S., Jean, E., Parfait, J.-Y., Bottieau, J., De Grève, Z., & Vallée, F. (05 November 2019). A Nonlinear Hybrid Approach for the Scheduling of Merchant Underground Pumped Hydro Energy Storage. IET Generation, Transmission and Distribution, 13 (21), 4798-4808. doi:10.1049/iet-gtd.2019.0204 Peer Reviewed verified by ORBi |
| Toubeau, J.-F., Bottieau, J., Vallée, F., & De Grève, Z. (20 February 2019). Deep Learning-based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets. IEEE Transactions on Power Systems, 34 (2), 1203-1215. doi:10.1109/TPWRS.2018.2870041 Peer Reviewed verified by ORBi |
Bottieau, J., Vallée, F., De Grève, Z., & Toubeau, J.-F. (2018). Leveraging Provision of Frequency Regulation Services from Wind Generation by Improving Day-Ahead Predictions using LSTM Neural Networks. Paper presented at IEEE International Energy Conference, ENERGYCON 2018, Limassol, Cyprus. |
Bottieau, J., De Grève, Z., Vallée, F., & Toubeau, J.-F. (2018). Fostering the Participation of Battery Storage Systems in the Real-Time Balancing of Electrical Grids. Paper presented at 9th IEEE Young Researchers Symposium in Electrical Power Engineering, YRS 2018, Brussels, Belgium. |
Toubeau, J.-F., Bottieau, J., Vallée, F., & De Grève, Z. (2017). Improved Day-Ahead Predictions of Load and Renewable Generation by Optimally Exploiting Multi-Scale Dependencies. Paper presented at IEEE Conference on Innovative Smart Grids Technologies (ISGT Asia 2017), Auckland, New Zealand. |
