Aittahar, S., Bolland, A., Derval, G., & Ernst, D. (2024). Optimal control of renewable energy communities subject to network peak fees with model predictive control and reinforcement learning algorithms. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/312776. |
Aittahar, S., Manuel de Villena Millan, M., Derval, G., Castronovo, M., Boukas, I., Gemine, Q., & Ernst, D. (2023). Optimal Control of Renewable Energy Communities with Controllable Assets. Frontiers in Energy Research. doi:10.3389/fenrg.2023.879041 |
De Villena, M. M., Aittahar, S., Mathieu, S., Boukas, I., Vermeulen, E., & Ernst, D. (2022). Allocation of locally generated electricity in renewable energy communities. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/250878. |
Manuel De Villena, M., Aittahar, S., Mathieu, S., Boukas, I., Vermeulen, E., & Ernst, D. (2022). Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity. IEEE Access, 10, 77571 - 77586. doi:10.1109/ACCESS.2022.3191804 |
Manuel de Villena Millan, M., Aittahar, S., Gemine, Q., & Ernst, D. (2021). Algorithms for the control and sizing of renewable energy communities. |
Aittahar, S., Manuel de Villena Millan, M., Ernst, D., & Gemine, Q. (2020). Ex-post allocation of electricity and real-time control strategy for renewable energy communities [Paper presentation]. 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS 2020), Liège, Belgium. |
Aittahar, S., Fonteneau, R., & Ernst, D. (2020). Empirical Analysis of Policy Gradient Algorithms where Starting States are Sampled accordingly to Most Frequently Visited States. IFAC-PapersOnLine, 53 (2), 8097–8104. doi:10.1016/j.ifacol.2020.12.2279 |
Aittahar, S., Sootla, A., & Ernst, D. (Other coll.). (19 September 2016). Policy transfer using Value Function as Prior Information [Paper presentation]. Phd Forum, Riva del Garda, Italy. |
Aittahar, S., François-Lavet, V., Lodeweyckx, S., Ernst, D., & Fonteneau, R. (2015). Imitative Learning for Online Planning in Microgrids. In W. L. Woon, A. Zeyar, ... M. Stuart (Eds.), Data Analytics for Renewable Energy Integration (pp. 1-15). Springer. doi:10.1007/978-3-319-27430-0_1 |