6 papers
Scalable Supervisory HVAC Control for Linear Objectives
W. Grant Dierking, Arash J. Khabbazi, Levi D. Reyes Premer +1
Advanced control of heating and cooling systems can substantially reduce energy costs and pollution. However, real-world adoption of popular algorithms among researchers, such as m…
Indirect data-driven predictive control and the state-space predictor
Levi D. Reyes Premer, Arash J. Khabbazi, Kevin J. Kircher
We define trajectory predictive control (TPC) as a class of indirect data-driven predictive control (DDPC) methods that represent future outputs as linear in past inputs/outputs an…
Model predictive control lowers barriers to adoption of heat-pump water heaters: A field study
Levi D. Reyes Premer, Elias N. Pergantis, Leo Semmelmann +2
Electric heat-pump water heaters (HPWHs) could reduce the energy costs, emissions, and power grid impacts associated with water heating, the second-largest energy use in United Sta…
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),…
Lessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial HVAC: A review
Arash J. Khabbazi, Elias N. Pergantis, Levi D. Reyes Premer +5
A large body of simulation research suggests that model predictive control (MPC) and reinforcement learning (RL) for heating, ventilation, and air-conditioning (HVAC) in residentia…
Protecting residential electrical panels and service through model predictive control: A field study
Elias N. Pergantis, Levi D. Reyes Premer, Alex H. Lee +5
Residential electrification - replacing fossil-fueled appliances and vehicles with electric machines - can significantly reduce greenhouse gas emissions and air pollution. However,…