47 citations · 49 across the 11 of their papers we have counts for
11 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…
Scalable Supervisory HVAC Control for Linear Objectives
W. Grant Dierking, Arash J. Khabbazi, Levi D. Reyes Premer +1
Advanced control of heating, ventilation, and air-conditioning (HVAC) systems can substantially reduce energy costs and pollution. However, real-world adoption of popular algorithm…
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…
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…
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…
Distribution Grids May Be a Barrier To Residential Electrification
Priyadarshan, Constance Crozier, Kyri Baker +1
Replacing fossil-fueled appliances and vehicles with electric alternatives can reduce greenhouse gas emissions and air pollution in many settings. However, residential electrificat…
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,…
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…