47 citations · 47 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Small HVAC Control Demonstrations in Larger Buildings Often Overestimate Savings
Arash J. Khabbazi, Kevin J. Kircher
How much energy, money, and emissions can advanced control of heating and cooling equipment save in real buildings? To address this question, researchers sometimes control a small…
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…
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…