4 papers
Data-driven estimation of design heating loads for HVAC equipment sizing
Alex H. Lee, Elias N. Pergantis, Kevin J. Kircher
Oversized heating and cooling equipment can unnecessarily increase up-front costs, energy costs, pollutant emissions, and strain on electrical infrastructure. This paper develops t…
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,…
Humidity-Aware Model Predictive Control for Residential Air Conditioning: A Field Study
Elias N. Pergantis, Parveen Dhillon, Levi D. Reyes Premer +3
Model predictive control of residential air conditioning could reduce energy costs and greenhouse gas emissions while maintaining or improving occupants' thermal comfort. However,…