Publications
Journals
Neural differential equations for temperature control in buildings under demand response programs
Applied Energy
2024
A Distributed ADMM-Based Deep Learning Approach for Thermal Control in Multi-Zone Buildings Under Demand Response Events
IEEE Transactions on Automation Science and Engineering
2024
An Enhanced Adaptivity of Reinforcement Learning-Based Temperature Control in Buildings Using Generalized Training
IEEE Transactions on Emerging Topics in Computational Intelligence
2021
Conference Proceedings
Deep Reinforcement Learning For Peak Load Reduction In Aggregated Residential Houses
IEEE Power and Energy Society General Meeting
2020
Thesis
On Intelligent and Adaptive Control of Thermal Loads in Buildings under Demand Response Programs
PhD Thesis, Polytechnique Montréal
2024
Workshops
Discovery of Sustainable Refrigerants through Physics-Informed RL Fine-Tuning of Sequence Models
EurIPS SimBioChem Workshop
2025
Long-Horizon Model-Based Offline Reinforcement Learning Without Conservatism
NeurIPS ARLET Workshop
2025
Workshop Organization
UrbanAI: Harnessing Artificial Intelligence for Smart Cities
NeurIPS 2025 Workshop
This workshop brings together ML researchers with domain experts from power systems, transportation, and climate science to develop scalable AI solutions that can overcome real-world deployment obstacles like non-standardized systems and data integration issues. Unlike other ML workshops, UrbanAI uniquely focuses on the multifaceted urban environment, aiming to create measurable impact on sustainability, public health, and urban resilience while helping cities meet climate goals.
Organizers: Judah Goldfeder, Na (Lina) Li, Donna Vakalis, Bianca Howard, Philippe Wyder, Vincent Taboga, Jiong Lin, Bing Dong, Yoshua Bengio
Reviews
- Journal of Machine Learning Research (JMLR)
- ICML CO-BUILD workshop 2025
- Springer Nature Scientific Reports
