<  Retour au portail Polytechnique Montréal

Documents publiés en "2025"

Monter d'un niveau
Pour citer ou exporter [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Grouper par: Auteurs ou autrices | Département | Sous-type de document | Aucun groupement
Aller à : A | C | D | F | G | L | M | N | P | S | X
Nombre de documents: 17

A

Almekhlafi, M., Lesage-Landry, A., & Karabulut Kurt, G. (2025). Access Inequality in LEO Satellite Networks: A Case Study of High-Latitude Coverage in Northern Québec. IEEE Open Journal of Vehicular Technology, 6, 1613-1630. Disponible

Audet, X., Qako, K., & Lesage-Landry, A. (2025). A distributionally robust optimization strategy for virtual bidding in two-settlement electricity markets. (Rapport technique n° G-2025-31). Lien externe

Audet, X., Qako, K., & Lesage-Landry, A. (2025). A Distributionally Robust Optimization Strategy for Virtual Bidding in Two-Settlement Electricity Markets. Sustainable Energy, Grids and Networks, 101904. Lien externe

C

Coulombe, M., Berger, M., & Lesage-Landry, A. (2025). Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model. Electric Power Systems Research, 252, 112408 (8 pages). Lien externe

Coulombe, M.-A., Berger, M., & Lesage-Landry, A. (2025). Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model. (Rapport technique n° G-2025-41). Lien externe

D

Durette, J., Karabulut Kurt, G., & Lesage-Landry, A. (2025). Task mapping strategies for electric power system simulations on heterogeneous clusters. (Rapport technique n° G-2025-32). Lien externe

Durette, J., Karabulut Kurt, G., & Lesage-Landry, A. (septembre 2025). Task Mapping Strategies for Electric Power System Simulations on Heterogeneous Clusters [Communication écrite]. International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm 2025), North York, ON, Canada. Lien externe

F

Farzin, A. A., Pun, Y.-M., Lesage-Landry, A., Diouane, Y., & Shames, I. (2025). Min-max optimisation for nonconvex-nonconcave functions using a random zeroth-order extragradient algorithm. Transactions on Machine Learning Research, 59 pages. Disponible

G

Garroussi, Z., Ben Yahia, O., Sanso, B., Frigon, J.-F., Martel, S., Mantelet, G., Lesage-Landry, A., & Karabulut Kurt, G. (juin 2025). Multi-Priority Scheduling for Traffic Management in Future Scalable Payloads [Communication écrite]. IEEE International Conference on Communications Workshops (ICC Workshops 2025), Montreal, QC, Canada. Lien externe

L

Le Digabel, S., Lesage-Landry, A., Salomon, L., & Tribes, C. (2025). Efficient search strategies for constrained multiobjective blackbox optimization. (Rapport technique n° G-2025-28). Lien externe

Lupien, J.-L., & Lesage-Landry, A. (2025). Ex post conditions for the exactness of optimal power flow conic relaxations. Electric Power Systems Research, 238, 111130 (4 pages). Lien externe

M

Molénat, M. C., Mahseredjian, J., Rashidirad, N., & Lesage-Landry, A. (2025). On the frequency variation in load-flow calculations for islanded alternating current microgrids. Mathematics and Computers in Simulation. Présentée à International Conference on Modeling and Simulation of Electric Machines, Converters and Systems (ElectrIMACS 2024), Castelló, Spain. Lien externe

N

N'Zi, K., Rashidirad, N., Mahseredjian, J., & Lesage-Landry, A. (octobre 2025). Modified and Augmented Nodal Analysis-based Optimal Power Flow [Communication écrite]. 51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025), Madrid, Spain (6 pages). Lien externe

P

Pallage, J., & Lesage-Landry, A. (2025). Wasserstein Distributionally Robust Shallow Convex Neural Networks. INFORMS Journal on Optimization. Lien externe

Paré, M.-C., Dermardiros, V., & Lesage-Landry, A. (octobre 2025). Efficient Data-Driven Model Predictive Control for Demand Response of Commercial Buildings [Communication écrite]. 51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025), Madrid, Spain (8 pages). Lien externe

S

Soldati, C., Le Digabel, S., & Lesage-Landry, A. (2025). Blackbox optimization for loss minimization in power distribution networks using feeder reconfiguration. (Rapport technique n° G-2025-52). Lien externe

X

Xue, T., Zhao, M., Kocar, I., Ghafouri, M., Lesage-Landry, A., Bu, S., & Zhu, Z. (2025). Efficient Deep Reinforcement Learning-Based Supplementary Damping Control with a Coordinated RMS Training and EMT Testing Scheme. IEEE Transactions on Power Delivery, 1-14. Lien externe

Liste produite: Mon Dec 8 02:20:10 2025 EST.