Antoine Lesage-Landry
B.Eng. (Poly), Ph.D. (Toronto)
Associate Professor
Department of Electrical Engineering
Department of Electrical Engineering
Research interests and affiliations
Research interests
- Modelling of power systems
- Decision-making under uncertainty
- Optimization
- Online optimization
- Online learning
- Machine learning
- Electric energy systems
- Renewable energy systems
- Smart grids
Affiliation(s)
- Institute for Data Valorization (IVADO), Member
- Réseau québécois sur l'énergie intelligente, Member
- Research Group in Decision Analysis (GERAD), Member
- Mila - Quebec's Artificial Intelligence Institute, Associate member
Expertise type(s) (NSERC subjects)
- 2501 Power systems
- 2715 Optimization
- 2805 Learning and inference theories
- 2956 Optimization and optimal control theory
- 2960 Mathematical modelling
Publications
Recent publications
Journal article
Conference paper
Journal article
Report
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).
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.
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.
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).
See all publications (47)
Biography
Antoine Lesage-Landry is an Associate Professor in the Department of Electrical Engineering at Polytechnique Montréal, QC, Canada. He received the B.Eng. degree in Engineering Physics from Polytechnique Montréal, in 2015, and the Ph.D. degree in Electrical Engineering from the University of Toronto, ON, Canada, in 2019. From 2019 to 2020, he was a Postdoctoral Scholar in the Energy & Resources Group at the University of California, Berkeley, CA, USA. His research interests include optimization, online learning, and their application to power systems with renewable generation.
Education
- Ph.D., Electrical Engineering, University of Toronto
- B.Eng., Engineering Physics, Polytechnique Montréal
Supervision at Polytechnique
COMPLETED
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Master's Thesis (4)
- Lauzon, J.-W. (2023). A Discrete-Time Markov Chain Approach for Microgrid-Aware Reliability Assessment of Distribution Systems [Master's thesis, Polytechnique Montréal].
- Lupien, J.-L. (2023). Online Second-order Methods for Time-Varying Equality-Constrained Optimization [Master's thesis, Polytechnique Montréal].
- Maisonneuve, P. (2023). Learning-Accelerated Exact Mixed-Integer Second-Order Cone Programming for Unit Commitment [Master's thesis, Polytechnique Montréal].
- Paré, M.-C. (2023). Commande prédictive efficace guidée par les données pour la gestion de la demande de puissance des petits bâtiments commerciaux [Master's thesis, Polytechnique Montréal].
