Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads

Best Student Paper Nominee at IEEE SmartGridComm'20

Publication
2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm'20)
Bingqing Chen
Bingqing Chen
Machine Learning Research Scientist

My primary research interest is in making reinforcement learning agents safe and sample-efficient to be viable for real-world applications. I work on autonomous energy systems to 1) improve energy efficiency, and 2) facilitate renewable energy integration.

Mario Bergés
Mario Bergés
Professor of Civil and Environmental Engineering

My research interests vary, but generally gravitate towards the development of technologies to make our built enviornment and the communities in them more autonomous and efficient. Lately I am interested in developing responsible autonomous solutions for infrastructure systems.