Documents publiés en "2023"

Département de génie électrique

Kiani, S., Sheshyekani, K., & Dagdougui, H. (2023). An Extended State Space Model for Aggregation of Large-scale EVs Considering Fast Charging. IEEE Transactions on Transportation Electrification, 9(1), 1238-1251. Lien externe

Kiani, S., Sheshyekani, K., & Dagdougui, H. (2023). ADMM-Based Hierarchical Single-Loop Framework for EV Charging Scheduling Considering Power Flow Constraints. IEEE Transactions on Transportation Electrification, 12 pages. Lien externe

Département de mathématiques et de génie industriel

Abousaid, S., Benabbou, L., Dagdougui, H., Belhaj, I., Berrado, A., & Bouzekri, H. (2023). Predicting Solar PV Output Based on Hybrid Deep Learning and Physical Models: Case Study of Morocco. Recent Advances in Electrical & Electronic Engineering, 16, 6-17. Lien externe

Aziz, M., Dagdougui, H., & El Hallaoui, I. (2023). Game Theoretical Formulation for Residential Community Microgrid Via Mean Field Theory: Proof of Concept. IEEE Control Systems Letters, 6 pages. Lien externe

Aziz, M., Dagdougui, H., & El Hallaoui, I. (2023). Computational investigation of residential users through load aggregator smart grid power optimization problem via mean field game theory. (Rapport technique n° G-2023-56). Lien externe

Benbrahim, S., Benabbou, L., Dagdougui, H., Belhaj, I., Djdiaa, A., Bouzekri, H., & Berrado, A. (novembre 2023). Deep Learning Model for Multi-Step Ahead Prediction of Solar Irradiance: Case of Study of Morocco [Communication écrite]. 14th International Conference on Intelligent Systems: Theories and Applications (SITA 2023), Casablanca, Morocco (8 pages). Lien externe

Chiguer, S., Benabbou, L., Dagdougui, H., Belhaj, I., Djdiaa, A., Bouzekri, H., & Berrado, A. (novembre 2023). Towards an Effective Electrical Market Design: Identifying and Defining Key Criteria for Decision-Making [Communication écrite]. 14th International Conference on Intelligent Systems: Theories and Applications (SITA 2023), Casablanca, Morocco (6 pages). Lien externe

Ibrahim, E., Ragab, A., So, T. M. Y., Shokrollahi, M., Dagdougui, H., Navarri, P., Elkamel, A., & Amazouz, M. (2023). Machine learning-assisted selection of adsorption-based carbon dioxide capture materials. Journal of Environmental Chemical Engineering, 11(5), 110732 (25 pages). Lien externe

Kamrani, A. S., & Dagdougui, H. (août 2023). A Two-Stage Optimization Framework for Electric Vehicle Fleet Day-ahead Charging Management [Communication écrite]. 11th IEEE International Conference on Smart Energy Grid Engineering (SEGE 2023), Ottawa, ON, Canada. Lien externe

Kiani, S., Sheshyekani, K., & Dagdougui, H. (2023). An Extended State Space Model for Aggregation of Large-scale EVs Considering Fast Charging. IEEE Transactions on Transportation Electrification, 9(1), 1238-1251. Lien externe

Kiani, S., Sheshyekani, K., & Dagdougui, H. (2023). ADMM-Based Hierarchical Single-Loop Framework for EV Charging Scheduling Considering Power Flow Constraints. IEEE Transactions on Transportation Electrification, 12 pages. Lien externe

Rezaei, E., Dagdougui, H., & Ojand, K. (2023). Hierarchical Distributed Energy Management Framework for Multiple Greenhouses Considering Demand Response. IEEE Transactions on Sustainable Energy, 14(1), 453-464. Lien externe