Publications

Article papers

B. Bakhshideh Zad, J-F. Toubeau, B. Vatandoust, K. Bruninx, Z. De Grève, F. Vallée, "Enhanced integration of flow-based market coupling in short-term adequacy assessment ", Electr. Power Syst. Res., vol. 201, December 2021, 107507.
B. Bakhshideh Zad, J-F. Toubeau, K. Bruninx, B. Vatandoust, Z. De Grève, F. Vallée, "Supervised learning-assisted modeling of flow-based domains in European resource adequacy assessments", Appl. Energy, vol. 325, November 2022.
J.-F. Toubeau, J. Bottieau, Y. Wang and F. Vallée, “Interpretable Probabilistic Forecasting of Imbalances in Renewable-Dominated Electricity Systems,” IEEE Trans. Sustain. Energy, vol. 13, no. 2, pp. 1267-1277, April 2022.
J.-F. Toubeau, F. Teng, T. Morstyn, L. Von Krannichfeld and Y. Wang, “Privacy-preserving Probabilistic Voltage Forecasting in Local Energy Communities”, IEEE Trans. Smart Grid, vol. 14, no. 1, pp. 798-809, Jan. 2023.
R. Smets, K. Bruninx, J. Bottieau, J-F. Toubeau, E. Delarue, “Implicit Balancing with Energy Storage Systems via Model Predictive Control”, IEEE Transactions on Energy Markets, Policy and Regulation, vol. 1, no. 4, pp. 373-385, Dec. 2023.
J. Allard, A. Arrigo, J. Bottieau, G. Bertrand, Z. De Grève, F. Vallée, “A Forecast-Driven Stochastic Optimization Method for Proactive Activation of Manual Reserve” submitted to Electric Power Systems Research, September 2023, Accepted for publication.
J. Bottieau, G. Audemard, S. Bellart, J-M. Lagniez, P. Marquis, N. Szczepanski, and J.-F. Toubeau, “Logic-Based Explanations of Imbalance Price Forecasts using Boosted Regression Trees” submitted to Electric Power Systems Research, September 2023, Accepted for publication.

Conference papers

Report

B. Bakhshideh Zad, J-F. Toubeau, K. Bruninx, B. Vatandoust, Z. De Grève, F. Vallée, "Supervised learning-assisted modeling of flow-based domains for Long-Term European resource adequacy assessments", Industrial report, 2023.

Master Thesis reports

M. Nsimba Lumba, “Analyse de l’impact des paramètres de design de la méthode Flow-Based déterminant la capacité d’échange d'électricité sur les marchés court-terme,” Master Thesis, UMONS, June 2022. 
A. Hubert, “On the Use of Machine Learning for Dynamic Sizing of Reserves in Electricity Markets” Master Thesis, UMONS, June 2022.
A. Ahmad Khan, “Investigating Different Generation Shift Key Strategies on Flow-Based Market Coupling for Cross-Border Electricity Trading”, Master Thesis, UMONS, June 2023. 
G. Paternostre, “Calcul et analyse de l’évolution de l’adéquation du système électrique belge à l’horiozn 2030“, Master Thesis, UMons, June 2023
A. Lagniau, "Implementation and Comparative Analysis of Coordination Schemes between Transmission and Distribution Systems", Master Thesis, UMons, June 2023.

Papers under review

A. Rosseel, B. Bakhshideh Zad, Z. De Greve, F. Vallée, "Physics-Informed Machine Learning for Forecasting Power Exchanges at the Interface between Transmission and Distribution Systems", Submitted to Electric Power System, December 2023, Under review.

PhD dissertations

The doctoral dissertation of Behzad Vatandoust, entitled "Implicit Demand Response Modeling Using Inverse Optimization," is expected to be defended in September 2024 and will be publicly available.
The doctoral dissertation of Ruben Smets, entitled "Data-Driven Energy Systems Modeling for Cost-Efficient Balancing," is expected to be defended in July 2024 and will be publicly available.
The doctoral dissertation of Arnaud Rosseel, entitled "Reactive power management in renewable-dominated power systems," is expected to be defended in May 2026 and will be publicly available.