Publications

Journal articles

1. Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, and Antoine Lesage-Landry. "Multi-agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads," Machine Learning. Under review. March 2023. (arXiv)
2. Antoine Lesage-Landry and Duncan S. Callaway. "Approximate Multi-Agent Fitted Q-Iteration," Systems & Control Letters. Under review, July 2021. (arXiv)
3. Antoine Lesage-Landry, Félix Pellerin, Duncan S. Callaway, and Joshua A. Taylor. "Optimally Scheduling Public Safety Power Shutoffs," INFORMS Stochastic Systems. Accepted. May 2023. (arXiv)
4. Feng Li, Ilhan Kocar, and Antoine Lesage-Landry. "A Rapid Method for Impact Analysis of Grid-edge Technologies on Power Distribution Networks," IEEE Transactions on Power Systems. March 2023. (doi)
5. Jean-Luc Lupien and Antoine Lesage-Landry. "An Online Newton's Method with Linear Time-varying Equality Constraints," IEEE Control Systems Letters, 6: 1423-1428. February 2023. (doi)
6. Antoine Lesage-Landry, Joshua A. Taylor, and Duncan S. Callaway. "Online Convex Optimization with Binary Constraints," IEEE Transactions on Automatic Control, 66 (12): 6164-6170. December 2021. (doi)
7. Antoine Lesage-Landry and Duncan S. Callaway. "Batch Reinforcement Learning for Network-Safe Demand Response in Unknown Electric Grids," Electric Power Systems Research, 202: 108375. November 2022. (doi)
8. Antoine Lesage-Landry, Joshua A. Taylor, and Iman Shames. "Second-order Online Nonconvex Optimization," IEEE Transactions on Automatic Control, 66 (10): 4866-4872. October 2021. (doi)
9. Antoine Lesage-Landry, Han Wang, Iman Shames, Pierluigi Mancarella, and Joshua A. Taylor. "Online Convex Optimization of Multi-energy Building-to-grid Ancillary Services," IEEE Transactions on Control Systems Technology, 28 (6): 2416 - 2431. November 2020. (doi)
10. Antoine Lesage-Landry and Duncan S. Callaway. "Dynamic and Distributed Online Convex Optimization for Demand Response of Commercial Buildings," IEEE Control Systems Letters, 4 (3): 632-637. July 2020. (doi)
11. Antoine Lesage-Landry, Siyu Chen, and Joshua A. Taylor. "Estimating the Frequency Coupling Matrix from Network Measurements," IEEE Transactions on Control of Network Systems, 7 (2): 724-733. June 2020. (doi)
12. Antoine Lesage-Landry, Iman Shames, and Joshua A. Taylor. "Predictive Online Convex Optimization," Automatica, 113: 108771, March 2020. (doi)
13. Antoine Lesage-Landry and Joshua A. Taylor. "A Second-order Cone Model of Transmission Planning with Alternating and Direct Current Lines," European Journal of Operational Research, 281 (1): 174-185. February 2020. (doi)
14. Olivier Ouellette, Antoine Lesage-Landry, Benjamin Scheffel, Sjoerd Hoogland, F. Pelayo Garcia de Arquer, and Edward H. Sargent. "Spatial Collection in Colloidal Quantum Dot Solar Cells," Advanced Functional Materials, 3 (1): 1908200. January 2020. (doi)
15. Antoine Lesage-Landry and Joshua A. Taylor. "Setpoint Tracking with Partially Observed Loads." IEEE Transactions on Power Systems, 32 (5): 5615-5627. September 2018. (doi)
16. Antoine Lesage-Landry and Joshua A. Taylor. "The Multi-armed Bandit with Stochastic Plays," IEEE Transactions on Automatic Control, 63 (7): 2280-2286. July 2018. (doi)

Conference papers

1. Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull, and Antoine Lesage-Landry. "Multi-agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads," 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Accepted. May 2023.
2. Feng Li, Ilhan Kocar, and Antoine Lesage-Landry. "Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives," 2023 IEEE Power & Energy Society General Meeting. Accepted. March 2023. (doi)
3. Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Jorge Montalvo, Liam Paull, and Antoine Lesage-Landry. "Multi-agent Reinforcement Learning for Fast-Timescale Demand Response," Reinforcement Learning for Real Life Workshop @ NeurIPS 2022. December 2022. (pdf)
4. Vincent Mai, Tianyu Zhang, and Antoine Lesage-Landry. "Multi-agent Reinforcement Learning for Renewable Integration in the Electric Power Grid," Tackling Climate Change with Machine Learning: workshop at NeurIPS 2021, online, December 2021. (pdf)
5. Antoine Lesage-Landry and Duncan S. Callaway. "Batch Reinforcement Learning for Network-Safe Demand Response in Unknown Electric Grids," 22nd Power Systems Computation Conference (PSCC 2022), February 2022. (doi)
6. Rodrigo Henriquez, Antoine Lesage-Landry, Joshua A. Taylor, Daniel Olivares, and Matias Negrete-Pincetic. "Managing Load Contract Restrictions with Online Learning," , IEEE Global Conference on Signal and Information Processing (GlobalSIP), November 2017. (doi)
7. Amr Mohamed, Antoine Lesage-Landry, and Joshua A. Taylor. "Dispatching Thermostatically Controlled Loads for Frequency Regulation Using Adversarial Multi-armed Bandits," 2017 IEEE Electrical Power and Energy Conference (EPEC), October 2017. (doi)
8. Antoine Lesage-Landry and Joshua A. Taylor. "Online Convex Optimization for Demand Response," X Bulk Power Systems Dynamics and Control Symposium, IREP’2017 Symposium., August 2017. (pdf)
9. Antoine Lesage-Landry and Joshua A. Taylor. "Learning to Shift Thermostatically Controlled Loads," Proceedings of the 50th Hawaii International Conference on System Sciences, January 2017. (doi)
10. Sébastien Loranger, Antoine Lesage-Landry, Elton Soares de Lima Filho, Galina Nemova, Noelio O. Dantas, Paulo C. Morais, and Raman Kashyap. "Spectroscopic and life-time measurements of quantum dot doped glass for optical refrigeration: A feasibility study," SPIE OPTO. International Society for Optics and Photonics, February 2013. (doi)

Seminars and talks

• Analyzing and Mitigating Impacts of Grid-edge Technologies on Power Distribution Networks. University of Toronto: ECE Seminar, Toronto, ON. February 2023.
• Optimally Scheduling Public Safety Power Shutoffs. University of Michigan: Michigan Power and Energy Laboratory Seminar, Ann Arbor, MI. February 2023.
• A Rapid Method for Impact Analysis of Grid-edge Technologies on Power Distribution Networks. Resilient Electric Grid Consortium of North America Symposium 2022 (RECONS 2022), College Station, TX. November 2022.
• Optimally Scheduling Public Safety Power Shutoffs. Northwestern University: Department of Electrical and Computer Engineering Seminar Series, Evanston, IL. October 2022.
• Optimally Scheduling Public Safety Power Shutoffs. University of British Columbia: ECE Seminar, Vancouver, BC. June 2022.
• Optimally Scheduling Public Safety Power Shutoffs. Northeastern University: MIE Seminar Series, Boston, MA. May 2022.
• Batch Reinforcement Learning for Network-Safe Demand Response. ETH Zürich: Power Systems Laboratory Seminar, Zürich, Switzerland/online. March 2022.
• Real-time Decision-making for Demand Response. University of California, San Diego: Joint Mechanical & Aerospace Engineering Department and Center for Energy Research, San Diego CA/online. November 2021.
• Fitted Q-Iteration for Network-Safe Demand Response. 2021 INFORMS Annual Meeting, Anaheim, CA/online. October 2021. Invited.
• Real-Time Decision-making for Demand Response Under Uncertainty. GERAD Webinar. Montréal, QC, online. March 2021.
• Dynamic and Distributed Online Convex Optimization for Demand Response of Commercial Buildings. 59^th IEEE Conference on Decision and Control (CDC), online. December 2020.
• Online Convex Optimization with Binary Constraints for Demand Response. 2020 INFORMS Annual Meeting, online. November 2020. Invited.
• Predictive Online Convex Optimization for Demand Response. 2019 INFORMS Annual Meeting, Seattle, WA. October 2019. Invited.
• A Second-order Cone Model of AC-DC Transmission Expansion Planning. Canadian Operational Research Society 61^st Annual Conference, Saskatoon, SK. May 2019.
• Online Convex Optimization for Demand Response in Power Systems. Conference on Information Sciences and Systems, Johns Hopkins University. Baltimore, MD, March 2019. Invited.
• Renewable Integration and Demand Response. ECE1476 - LEDs and Solar Cells, University of Toronto, Toronto, ON. November 2018.
• Online Learning for Demand Response. The University of Melbourne: Electrical and Electronic Engineering Seminar, Melbourne, VIC, Australia. February 2018.
• Estimation du mouvement de tumeur pulmonaire: un modèle basé sur des images diagnostiques 3D. Student Conference of the Clinical Medical Physicists Association of Québec. Québec City, QC. November 2014.