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Antoine Lesage-LandryDepartment of Electrical Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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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. (Technical Report n° G-2024-40). External link
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. External link
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). External link
Bélanger, O., Ben Yahia, O., Martel, S., Lesage-Landry, A., & Karabulut Kurt, G. (2024, March). Quality of Service-Constrained Online Routing in High Throughput Satellites [Paper]. 2024 IEEE Aerospace Conference, Big Sky, MT, USA (9 pages). External link
Daoust, O., Nayir, H., Azam, I., Lesage-Landry, A., & Karabulut Kurt, G. (2024, June). Tensor-Based Space Debris Detection for Satellite Mega-constellations [Paper]. 2024 IEEE International Conference on Communications Workshops (ICC Workshops 2024), Denver, CO, USA. External link
Henriquez, R., Lesage-Landry, A., Taylor, J. A., Olivares, D., & Negrete-Pincetic, M. (2017, November). Managing load contract restrictions with online learning [Paper]. IEEE Global Conference on Signal and Information Processing (GlobalSIP 2017), Montréal, Qc, Canada. External link
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). External link
Li, F., Kocar, I., & Lesage-Landry, A. (2024, July). A Rapid Method for Impact Analysis of Grid-edge Technologies on Power Distribution Networks [Paper]. IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA. External link
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. External link
Li, F., Campeau, É., Kocar, I., & Lesage-Landry, A. (2024). Inferring electric vehicle charging patterns from smart meter data for impact studies. (Technical Report n° G-2024-02). External link
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). External link
Lesage-Landry, A., & Pallage, J. (2024). Online dynamic submodular optimization. Automatica, 167, 111758 (9 pages). External link
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. External link
Lesage-Landry, A., Pellerin, F., Callaway, D. S., & Taylor, J. A. (2023). Optimally scheduling public safety power shutoffs. Stochastic systems, 19 pages. Available
Lesage-Landry, A., & Callaway, D. S. (2023). Approximated multi-agent fitted Q iteration. Systems & Control Letters, 177, 105563 (10 pages). External link
Li, F., Kocar, I., & Lesage-Landry, A. (2023, July). Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives [Paper]. IEEE Power & Energy Society General Meeting (PESGM 2023), Orlando, FL, USA (5 pages). External link
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. External link
Li, F., Kocar, I., & Lesage-Landry, A. (2022). Rapid method for impact analysis of grid-edge technologies on power distribution networks. (Technical Report n° 2022-45). External link
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). External link
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. External link
Lesage-Landry, A., Taylor, J. A., & Shames, I. (2021). Second-order online nonconvex optimization. IEEE Transactions on Automatic Control, 66(10), 4866-4872. External link
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. External link
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. External link
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. External link
Lesage-Landry, A., Shames, I., & Taylor, J. A. (2020). Predictive online convex optimization. Automatica, 113, 108771 (9 pages). External link
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. External link
Lesage-Landry, A., & Taylor, J. A. (2018). The multi-armed bandit with stochastic plays. IEEE Transactions on Automatic Control, 63(7), 2280-2286. External link
Lesage-Landry, A., & Taylor, J. A. (2018). Setpoint tracking with partially observed loads. IEEE Transactions on Power Systems, 33(5), 5615-5627. External link
Lesage-Landry, A., & Taylor, J. A. (2017, January). Learning to shift thermostatically controlled loads [Paper]. 5th Hawaii International Conference on System Science (HICSS 2017), Big Island, Hawaii. External link
Lesage-Landry, A., & Taylor, J. A. (2017, August). Online convex optimization for demand response [Paper]. IREP 2017 Symposium : X Bulk Power Systems Dynamics and Control Symposium (IREP 2017), Espinho, Portugal (8 pages). Unavailable
Loranger, S., Lesage-Landry, A., Soares De Lima Filho, E., Nemova, G., Dantas, N., Morais, P., & Kashyap, R. (2013, February). Spectroscopic and life-time measurements of quantum dot doped glass for optical refrigeration: a feasibility study [Paper]. SPIE OPTO 2013, San Francisco, California (8 pages). External link
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. External link
Maisonneuve, P., & Lesage-Landry, A. (2024). Learning-accelerated mixed-integer quadratic programming for unit commitment. (Technical Report n° G-2024-08). External link
Molénat, M., Mahseredjian, J., Rashidirad, N., & Lesage-Landry, A. (2024). On the frequency variation in load-flow calculations for islanded AC microgrid. (Technical Report n° G-2024-26). External link
Merrigan, H., Yu-Hsin, W., Shigematsu, K., Yamamoto, M., Imaoka, J., & Lesage-Landry, A. (2024, November). Optimising Electric Vehicle Wireless Charging Systems Using Neural Networks to Enable Free-Position Parking [Paper]. 13th International Conference on Renewable Energy Research and Applications (ICRERA 2024), Nagasaki, Japan. External link
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. External link
Mai, V., Zhang, T., & Lesage-Landry, A. (2021, December). Multi-agent reinforcement learning for renewable integration in the electric power grid [Paper]. NeurIPS Workshop on Tackling Climate with Machine Learning. Unavailable
Mohamed, A., Lesage-Landry, A., & Taylor, J. A. (2017, October). Dispatching thermostatically controlled loads for frequency regulation using adversarial multi-armed bandits [Paper]. IEEE Electrical Power and Energy Conference (EPEC 2017), Saskatoon, Sk (6 pages). External link
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). External link
Pallage, J., & Lesage-Landry, A. (2024). (Trustworthy) AI for Québec's virtual power plant. (Technical Report n° G-2024-23). External link
Ricaux, V., Legrain, A., & Lesage-Landry, A. (2024). On the clique decomposition impact to the optimal power flow semidefinite relaxation solve time. (Technical Report n° G-2024-77). External link
