Documents publiés en "2026"

Département de génie électrique

Aziz, M., Suprême, H., Dagdougui, H., & Lesage-Landry, A. (2026). Optimal energy trading in residential prosumer clusters via graphon mean field games. Electric Power Systems Research, 263, 113745. Lien externe

Dini, A., Sheshyekani, K., & Dagdougui, H. (2026). A Deep Learning and Inertia-Aware Load Shedding Framework for Mitigating Load-Altering Attacks. IEEE Access, 14, 11834-11846. Lien externe

Dini, A., Sheshyekani, K., & Dagdougui, H. (2026). Resilient Multi-Agent Deep Reinforcement Learning for Automatic Generation Control Under Adversarial Perturbations. IEEE Transactions on Automation Science and Engineering, 17 pages. Lien externe

Dini, A., Sheshyekani, K., & Dagdougui, H. (juillet 2026). Securing Cyber-Physical LFC Systems: A Resilient MADDPG Approach Under FDI Attacks [Communication écrite]. Power & Energy Society General Meeting (PESGM 2026), Montréal, QC, Canada (5 pages). Lien externe

Département de mathématiques et de génie industriel

Aziz, M., Suprême, H., Dagdougui, H., & Lesage-Landry, A. (2026). Optimal energy trading in residential prosumer clusters via graphon mean field games. Electric Power Systems Research, 263, 113745. Lien externe

Dini, A., Sheshyekani, K., & Dagdougui, H. (2026). A Deep Learning and Inertia-Aware Load Shedding Framework for Mitigating Load-Altering Attacks. IEEE Access, 14, 11834-11846. Lien externe

Dini, A., Sheshyekani, K., & Dagdougui, H. (2026). Resilient Multi-Agent Deep Reinforcement Learning for Automatic Generation Control Under Adversarial Perturbations. IEEE Transactions on Automation Science and Engineering, 17 pages. Lien externe

Dini, A., Sheshyekani, K., & Dagdougui, H. (juillet 2026). Securing Cyber-Physical LFC Systems: A Resilient MADDPG Approach Under FDI Attacks [Communication écrite]. Power & Energy Society General Meeting (PESGM 2026), Montréal, QC, Canada (5 pages). Lien externe

Ibrahim, E., Ragab, A., Benali, M., Ajao, O., Boffito, D. C., & Dagdougui, H. (2026). Accelerated green material and solvent discovery with chemistry- and physics-guided generative AI. Artificial Intelligence Chemistry, 4(1), 100106 (13 pages). Lien externe