7 citations · 13 across the 5 of their papers we have counts for
5 papers
Performance Monitoring of Proton Exchange Membrane Water Electrolyzer by Transformers-Based Machine Learning Model
Bingqing Chen, Ivan Batalov, Qiu Chen +2
Green hydrogen plays an essential role in decarbonization, with capacity projected to scale to 560 GW by 2030 (vs. 1.39 GW in 2023) in net-zero settings. Proton exchange membrane (…
Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Ozan Baris Mulayim, Elias N. Pergantis, Levi D. Reyes Premer +4
Model Predictive Control (MPC) has demonstrated significant performance improvements over today's control methods for residential Heating, Ventilation, and Air Conditioning (HVAC),…
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Bingqing Chen, Jonathan Francis, Jean Oh +2
Racing demands each vehicle to drive at its physical limits, when any safety infraction could lead to catastrophic failure. In this work, we study the problem of safe reinforcement…
Learn-to-Race: A Multimodal Control Environment for Autonomous Racing
James Herman, Jonathan Francis, Siddha Ganju +7
Existing research on autonomous driving primarily focuses on urban driving, which is insufficient for characterising the complex driving behaviour underlying high-speed racing. At…
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings
Henning Lange, Bingqing Chen, Mario Berges +1
Alternating current optimal power flow (AC-OPF) is one of the fundamental problems in power systems operation. AC-OPF is traditionally cast as a constrained optimization problem th…