![]() | Monter d'un niveau |
Al-Sakkari, E. G., 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
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
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