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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
Dini, A., Sheshyekani, K., & Dagdougui, H. (mai 2025). Adaptive Inertia Estimation of a Power System Area Using Variable Forgetting Factor Recursive Least-Squares [Communication écrite]. Canadian Conference on Electrical and Computer Engineering (CCECE 2025), Vancouver, BC, Canada. 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
Abousaid, S., Berrado, A., Dagdougui, H., & Benabbou, L. (avril 2025). Enhancing Hybrid Model for Photovoltaic Power Prediction: A Case Study of Morocco [Communication écrite]. 6th African Industrial Engineering and Operations Management Conference, Rabat, Morocco. 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
Benbrahim, S., Berrado, A., Dagdougui, H., & Benabbou, L. (avril 2025). A Comparative Analysis of AI Models for Short-Term Solar Irradiance Forecasting [Communication écrite]. 6th African Industrial Engineering and Operations Management Conference, Rabat, Morocco. 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
Dini, A., Sheshyekani, K., & Dagdougui, H. (mai 2025). Adaptive Inertia Estimation of a Power System Area Using Variable Forgetting Factor Recursive Least-Squares [Communication écrite]. Canadian Conference on Electrical and Computer Engineering (CCECE 2025), Vancouver, BC, Canada. 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
Fathipasandideh, E., Suprême, H., Dagdougui, H., Audet, C., & Asber-Arbach, D. (2025). A novel sequential Benders-semidefinite framework with dual feasible proxy for multi-stage transmission expansion planning with contingencies. (Rapport technique n° G-2025-83). 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
