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Ibrahim, E., Ragab, A., Ali, M., Dagdougui, H., & Boffito, D. C. (2025). Simulate intelligently: Causal incremental reinforcement learning for streamlined industrial chemical process design optimization. Journal of environmental chemical engineering, 13(6), 120167 (22 pages). Lien externe
Ibrahim, E., Ragab, A., Amer, M., Ajao, O., Benali, M., Boffito, D. C., Dagdougui, H., & Amazouz, M. (2025). Ensemble machine learning to accelerate industrial decarbonization: Prediction of Hansen solubility parameters for streamlined chemical solvent selection. Digital Chemical Engineering, 14, 100207 (26 pages). Disponible
Aziz, M., Suprême, H., Dagdougui, H., & Lesage-Landry, A. (2025). Optimal energy trading in residential prosumer clusters via graphon mean field games. (Rapport technique n° G-2025-80). Lien externe
Ibrahim, E., Ragab, A., Amer, M., Ajao, O., Benali, M., Boffito, D. C., Dagdougui, H., & Amazouz, M. (2025). Ensemble machine learning to accelerate industrial decarbonization: Prediction of Hansen solubility parameters for streamlined chemical solvent selection. Digital Chemical Engineering, 14, 100207 (26 pages). Disponible
Kamrani, A. S., Dini, A., Dagdougui, H., & Sheshyekani, K. (2025). Multi-agent deep reinforcement learning with online and fair optimal dispatch of EV aggregators. Machine Learning with Applications, 19, 100620 (12 pages). Disponible
Muhindo, S. M., Dagdougui, H., Lesage-Landry, A., & Suprême, H. (octobre 2025). A Comprehensive Review of Transmission and Distribution Optimal Power Flow Problems for the Integration of Distributed Energy Resources [Communication écrite]. Electrical Power and Energy Conference (EPEC 2025), Waterloo, ON, Canada. Lien externe
Aziz, M., Suprême, H., Dagdougui, H., & Lesage-Landry, A. (2025). Optimal energy trading in residential prosumer clusters via graphon mean field games. (Rapport technique n° G-2025-80). Lien externe
Chafiq, M., Benabbou, L., Dagdougui, H., Belhaj, I., Bouzekri, H., & Berrado, A. (2025). Tailored performance evaluation framework for PV systems based on type and application. Renewable Energy, 256(C), 124047 (22 pages). Lien externe
Fathipasandideh, E., Suprême, H., Dagdougui, H., & Asber-Arbach, D. (juin 2025). A Novel Sequential Framework for Transmission Network Expansion Planning: Benders Decomposition Preceding Semidefinite Programming [Communication écrite]. Kiel PowerTech 2025, Kiel, Germany (6 pages). Lien externe
Ghorbani, E., Ouammi, A., & Dagdougui, H. (2025). Robust Model Predictive Control for the Optimal Operation of the Indoor Environment of a Cluster of Smart Greenhouses. IEEE Transactions on AgriFood Electronics, 10 pages. Lien externe
Ibrahim, E., Ragab, A., Ali, M., Dagdougui, H., & Boffito, D. C. (2025). Simulate intelligently: Causal incremental reinforcement learning for streamlined industrial chemical process design optimization. Journal of environmental chemical engineering, 13(6), 120167 (22 pages). Lien externe
Ibrahim, E., Ragab, A., Amer, M., Ajao, O., Benali, M., Boffito, D. C., Dagdougui, H., & Amazouz, M. (2025). Ensemble machine learning to accelerate industrial decarbonization: Prediction of Hansen solubility parameters for streamlined chemical solvent selection. Digital Chemical Engineering, 14, 100207 (26 pages). Disponible
Kamrani, A. S., Dini, A., Dagdougui, H., & Sheshyekani, K. (2025). Multi-agent deep reinforcement learning with online and fair optimal dispatch of EV aggregators. Machine Learning with Applications, 19, 100620 (12 pages). Disponible
Muhindo, S. M., Dagdougui, H., Lesage-Landry, A., & Suprême, H. (octobre 2025). A Comprehensive Review of Transmission and Distribution Optimal Power Flow Problems for the Integration of Distributed Energy Resources [Communication écrite]. Electrical Power and Energy Conference (EPEC 2025), Waterloo, ON, Canada. Lien externe
