activity
20242026
most citedLessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial HVAC: A review

47 citations · 49 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SY2026

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…

eess.SY2025

Laboratory and field testing of a residential heat pump retrofit for a DC solar nanogrid

Aaron H. P. Farha, Jonathan P. Ore, Elias N. Pergantis +3

Residential buildings are increasingly integrating large devices that run natively on direct current (DC), such as solar photovoltaics, electric vehicles, stationary batteries, and…

eess.SY2025

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…

eess.SY2025

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),…

eess.SY2025★ 47 cited

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…

eess.SY2024

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,…

eess.SY2024

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,…

eess.SY2024★ 2 cited

Field demonstration of predictive heating control for an all-electric house in a cold climate

Elias N. Pergantis, Priyadarshan, Nadah Al Theeb +5

Efficient electric heat pumps that replace fossil-fueled heating systems could significantly reduce greenhouse gas emissions. However, electric heat pumps can sharply increase elec…