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Antoine Lesage-LandryDépartement de génie électrique
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Tekbiyik, K., Hossein Fahim Raouf, A., Güvenç, İ., Chen, M., Karabulut Kurt, G., & Lesage-Landry, A. (2026). AI-Driven Low-Altitude Economy: Spectrum, Mobility, and Validation. IEEE Network. Lien externe
Bélanger, O., Lupien, J.-L., Ben Yahia, O., Martel, S., Lesage-Landry, A., & Benchoubane, N. (2026). Online Convex Optimization for On-Board Routing in High-Throughput Satellites. Journal of Aerospace Information Systems, 8 pages. Lien externe
Li, F., Kocar, I., & Lesage-Landry, A. (2026). Practical Solutions to Volt-var Optimization under Uncertainty via Blackbox Optimization. IEEE Transactions on Power Delivery, 12 pages. Lien externe
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
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
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
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
Pallage, J., & Lesage-Landry, A. (2025). Wasserstein Distributionally Robust Shallow Convex Neural Networks. INFORMS Journal on Optimization. Lien externe
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
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
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
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
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
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
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
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
Almekhlafi, M., Lesage-Landry, A., & Karabulut Kurt, G. (septembre 2025). Connectivity-Aware Task Offloading for Remote Northern Regions: a Hybrid LEO-MEO Architecture [Communication écrite]. 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2025), Istanbul, Turkiye (6 pages). Lien externe
Laurentin, T., Coirault, P., Moulay, E., Lesage-Landry, A., & Le Ny, J. (décembre 2025). Distributed Combined Space Partitioning and Network Flow Optimization: an Optimal Transport Approach [Communication écrite]. 64th Conference on Decision and Control (CDC 2025), Rio de Janeiro, Brazil. 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
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
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
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
Tekbiyik, K., Karabulut Kurt, G., & Lesage-Landry, A. (septembre 2025). Federated Learning for UAV-based Spectrum Sensing: Enhancing Accuracy Through SNR-Weighted Model Aggregation [Communication écrite]. 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2025), Istanbul, Turkiye (6 pages). Lien externe
Afif, Y., Almekhlafi, M., Lesage-Landry, A., & Karabulut Kurt, G. (octobre 2025). Joint Satellite Power Consumption and Handover Optimization for LEO Constellations [Communication écrite]. International Conference on Wireless for Space and Extreme Environments (WiSEE 2025), Halifax, NS, Canada (6 pages). Lien externe
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
Ricaux, V., Legrain, A., & Lesage-Landry, A. (juillet 2025). On the Clique Decomposition Impact to the Optimal Power Flow Semidefinite Relaxation Solve Time [Communication écrite]. Power & Energy Society General Meeting (PESGM 2025), Austin, TX, USA (5 pages). Lien externe
Lauzon, J.-W., Kocar, I., & Lesage-Landry, A. (2025). Reliability Assessment of Distribution Systems With Microgrids Using Discrete-Time Markov Chains. IEEE Transactions on Power Delivery, 12 pages. 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
Merrigan, H., Wu, Y. H., Lesage-Landry, A., Shigematsu, K., Yamamoto, M., & Imaoka, J. (septembre 2025). Unlocking Free-Position Electric Vehicle Charging: A Neural Network-Driven Approach for Optimisation of Multi-coil Wireless Power Transfer Systems [Communication écrite]. Energy Conversion Congress & Expo Europe (ECCE Europe 2025), Birmingham, United Kingdom. Lien externe
Kim, J., Mahseredjian, J., Karaagac, U., Lesage-Landry, A., Grilo, A. P., & Kim, C.-H. (novembre 2024). State-Space Models for Control Interaction Analysis of DFIG and FSC Wind Parks [Communication écrite]. 50th Annual Conference of the IEEE Industrial Electronics Society (IECON 2024), Chicago, IL, USA. Lien externe
Ricaux, V., Legrain, A., & Lesage-Landry, A. (2024). On the clique decomposition impact to the optimal power flow semidefinite relaxation solve time. (Rapport technique n° G-2024-77). Lien externe
Li, F., Kocar, I., & Lesage-Landry, A. (juillet 2024). A Rapid Method for Impact Analysis of Grid-edge Technologies on Power Distribution Networks [Communication écrite]. IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA. Lien externe
Ben Yahia, O., Garroussi, Z., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). A scalable architecture for future regenerative satellite payloads. (Rapport technique n° G-2024-40). Lien externe
Pallage, J., & Lesage-Landry, A. (2024). (Trustworthy) AI for Québec's virtual power plant. (Rapport technique n° G-2024-23). Lien externe
Ben Yahia, O., Garroussi, Z., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). A Scalable Architecture for Future Regenerative Satellite Payloads. IEEE Wireless Communications Letters, 1-1. Lien externe
Li, F., Kocar, I., & Lesage-Landry, A. (2024). A Rapid Method for Impact Analysis of Grid-Edge Technologies on Power Distribution Networks. IEEE Transactions on Power Systems, 39(1), 1530-1542. Lien externe
Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (2024). Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Machine Learning with Applications, 1 page. Lien externe
Ben Yahia, O., Garroussi, Z., Bélanger, O., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024). Evolution of High-Throughput Satellite Systems: A Vision of Programmable Regenerative Payload. IEEE Communications Surveys & Tutorials, 3450292 (34 pages). Lien externe
Sepho, L., Anjos, M. F., Dems, A., Dagdougui, H., & Lesage-Landry, A. (juillet 2024). Hierarchical optimization of cooperative distributed energy resource aggregations in power distribution systems [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Li, F., Campeau, É., Kocar, I., & Lesage-Landry, A. (2024). Inferring electric vehicle charging patterns from smart meter data for impact studies. (Rapport technique n° G-2024-02). Lien externe
Li, F., Campeau, É., Kocar, I., & Lesage-Landry, A. (2024). Inferring electric vehicle charging patterns from smart meter data for impact studies. Electric Power Systems Research, 235, 110789 (6 pages). Lien externe
Maisonneuve, P., & Lesage-Landry, A. (2024). Learning-accelerated mixed-integer quadratic programming for unit commitment. (Rapport technique n° G-2024-08). Lien externe
Molénat, M., Mahseredjian, J., Rashidirad, N., & Lesage-Landry, A. (2024). On the frequency variation in load-flow calculations for islanded AC microgrid. (Rapport technique n° G-2024-26). Lien externe
Bélanger, O., Lupien, J.-L., Ben Yahia, O., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (juillet 2024). Online Convex Optimization for On-Board Routing in High-Throughput Satellites [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Lesage-Landry, A., & Pallage, J. (2024). Online dynamic submodular optimization. Automatica, 167, 111758 (9 pages). Lien externe
Lupien, J.-L., Shames, I., & Lesage-Landry, A. (2024). Online Interior-Point Methods for Time-Varying Equality-Constrained Optimization. IEEE Transactions on Automatic Control, 8 pages. Lien externe
Lesage-Landry, A., Lupien, J.-L., & Shames, I. (juillet 2024). Online Interior-point Methods for Time-Varying Equality-constrained Optimization [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Merrigan, H., Yu-Hsin, W., Shigematsu, K., Yamamoto, M., Imaoka, J., & Lesage-Landry, A. (novembre 2024). Optimising Electric Vehicle Wireless Charging Systems Using Neural Networks to Enable Free-Position Parking [Communication écrite]. 13th International Conference on Renewable Energy Research and Applications (ICRERA 2024), Nagasaki, Japan. Lien externe
Mendoza, S., Le Digabel, S., & Lesage-Landry, A. (juillet 2024). Parallel versions of the mesh adaptive direct search algorithm [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Bélanger, O., Ben Yahia, O., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (mars 2024). Quality of Service-Constrained Online Routing in High Throughput Satellites [Communication écrite]. 2024 IEEE Aerospace Conference, Big Sky, MT, USA (9 pages). Lien externe
Daoust, O., Nayir, H., Azam, I., Lesage-Landry, A., & Karabulut Kurt, G. (juin 2024). Tensor-Based Space Debris Detection for Satellite Mega-constellations [Communication écrite]. 2024 IEEE International Conference on Communications Workshops (ICC Workshops 2024), Denver, CO, USA. Lien externe
Pallage, J., & Lesage-Landry, A. (juillet 2024). Wasserstein Distributionally Robust Shallow Convex Neural Networks [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Ben Yahia, O., Garroussi, Z., Bélanger, O., Sanso, B., Frigon, J.-F., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2023). Evolution of high throughput satellite systems: Vision, requirements, and key technologies. (Rapport technique n° G-2023-44). Lien externe
Lesage-Landry, A., Pellerin, F., Callaway, D. S., & Taylor, J. A. (2023). Optimally scheduling public safety power shutoffs. Stochastic systems, 19 pages. Disponible
Li, F., Kocar, I., & Lesage-Landry, A. (2023). Mitigating equipment overloads due to electric vehicle charging using customer incentives. (Rapport technique n° G-2023-01). Lien externe
Lesage-Landry, A., & Callaway, D. S. (2023). Approximated multi-agent fitted Q iteration. Systems & Control Letters, 177, 105563 (10 pages). Lien externe
Li, F., Kocar, I., & Lesage-Landry, A. (juillet 2023). Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives [Communication écrite]. IEEE Power & Energy Society General Meeting (PESGM 2023), Orlando, FL, USA (5 pages). Lien externe
Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (2023). Multi-agent reinforcement learning for fast-timescale demand response of residential loads. Machine Learning with Applications, 32 pages. Lien externe
Mai, V., Maisonneuve, P., Zhang, T., Nekoei, H., Paull, L., & Lesage-Landry, A. (mai 2023). Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads [Affiche]. 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), London, UK. Publié dans Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems. Lien externe
Lupien, J.-L., & Lesage-Landry, A. (2023). An Online Newton's Method for Time-Varying Linear Equality Constraints. IEEE Control Systems Letters, 7, 1423-1428. Lien externe
Lupien, J.-L., & Lesage-Landry, A. (2022). Online Newton's method with linear time-varying equality constraints. (Rapport technique n° G-2022-49). Lien externe
Lesage-Landry, A., Pellerin, F., Taylor, J. A., & Callaway, D. (2022). Optimally scheduling public safety power shutoffs. (Rapport technique n° G-2022-09). Lien externe
Li, F., Kocar, I., & Lesage-Landry, A. (2022). Rapid method for impact analysis of grid-edge technologies on power distribution networks. (Rapport technique n° 2022-45). Lien externe
Lesage-Landry, A., & Callaway, D. S. (2022). Approximated multi-agent fitted Q iteration. (Rapport technique n° G-2022-02). Lien externe
Lesage-Landry, A., & Callaway, D. S. (2022). Batch reinforcement learning for network-safe demand response in unknown electric grids. (Rapport technique n° G-2021-55). Lien externe
Lesage-Landry, A., & Callaway, D. S. (2022). Batch reinforcement learning for network-safe demand response in unknown electric grids. Electric Power Systems Research, 212, 108375 (7 pages). Lien externe
Mai, V., Zhang, T., & Lesage-Landry, A. (décembre 2021). Multi-agent reinforcement learning for renewable integration in the electric power grid [Communication écrite]. NeurIPS Workshop on Tackling Climate with Machine Learning. Non disponible
Lesage-Landry, A., Taylor, J. A., & Callaway, D. S. (2021). Online convex optimization with binary constraints. IEEE Transactions on Automatic Control, 66(12), 6164-6170. Lien externe
Lesage-Landry, A., Taylor, J. A., & Shames, I. (2021). Second-order online nonconvex optimization. IEEE Transactions on Automatic Control, 66(10), 4866-4872. Lien externe
Lesage-Landry, A., & Callaway, D. S. (2020). Dynamic and distributed online convex optimization for demand response of commercial buildings. IEEE Control Systems Letters, 4(3), 632-637. Lien externe
Lesage-Landry, A., Chen, S., & Taylor, J. A. (2020). Estimating the frequency coupling matrix from network measurements. IEEE Transactions on Control of Network Systems, 7(2), 724-733. Lien externe
Lesage-Landry, A., Wang, H., Shames, I., Mancarella, P., & Taylor, J. (2020). Online convex optimization of multi-energy building-to-grid ancillary services. IEEE Transactions on Control Systems Technology, 28(6), 2416-2431. Lien externe
Lesage-Landry, A., Shames, I., & Taylor, J. A. (2020). Predictive online convex optimization. Automatica, 113, 108771 (9 pages). Lien externe
Lesage-Landry, A., & Taylor, J. A. (2020). A second-order cone model of transmission planning with alternating and direct current lines. European Journal of Operational Research, 281(1), 174-185. Lien externe
Ouellette, O., Lesage-Landry, A., Scheffel, B., Hoogland, S., García de Arquer, F. P., & Sargent, E. H. (2020). Spatial collection in colloidal quantum dot solar cells. Advanced Functional Materials, 30(1), 1908200 (7 pages). Lien externe
Lesage-Landry, A., & Taylor, J. A. (2018). The multi-armed bandit with stochastic plays. IEEE Transactions on Automatic Control, 63(7), 2280-2286. Lien externe
Lesage-Landry, A., & Taylor, J. A. (2018). Setpoint tracking with partially observed loads. IEEE Transactions on Power Systems, 33(5), 5615-5627. Lien externe
Mohamed, A., Lesage-Landry, A., & Taylor, J. A. (octobre 2017). Dispatching thermostatically controlled loads for frequency regulation using adversarial multi-armed bandits [Communication écrite]. IEEE Electrical Power and Energy Conference (EPEC 2017), Saskatoon, Sk (6 pages). Lien externe
Lesage-Landry, A., & Taylor, J. A. (janvier 2017). Learning to shift thermostatically controlled loads [Communication écrite]. 5th Hawaii International Conference on System Science (HICSS 2017), Big Island, Hawaii. Lien externe
Henriquez, R., Lesage-Landry, A., Taylor, J. A., Olivares, D., & Negrete-Pincetic, M. (novembre 2017). Managing load contract restrictions with online learning [Communication écrite]. IEEE Global Conference on Signal and Information Processing (GlobalSIP 2017), Montréal, Qc, Canada. Lien externe
Lesage-Landry, A., & Taylor, J. A. (août 2017). Online convex optimization for demand response [Communication écrite]. IREP 2017 Symposium : X Bulk Power Systems Dynamics and Control Symposium (IREP 2017), Espinho, Portugal (8 pages). Non disponible
Loranger, S., Lesage-Landry, A., Soares De Lima Filho, E., Nemova, G., Dantas, N., Morais, P., & Kashyap, R. (février 2013). Spectroscopic and life-time measurements of quantum dot doped glass for optical refrigeration: a feasibility study [Communication écrite]. SPIE OPTO 2013, San Francisco, California (8 pages). Lien externe
