Rohit Chintala is a postdoctoral researcher for the Residential Energy Building Group at NREL. He specializes in developing building energy models using gray-box and black-box system identification and advanced control methodologies such as Model Predictive Control. His work at NREL focuses on developing battery models to improve performance of sustainable buildings with on-site photovoltaic systems, and developing AI-drive control methods to maximize load flexibility in residential buildings.
Model Predictive Control
Ph.D. Mechanical Engineering, Texas A&M University
M.S. Mechanical Engineering, Texas A&M University
Identification and Elimination of Hunting Behavior in HVAC Systems, ASHRAE Transactions (2015)
Automated Multi-Zone Linear Parametric Black Box Modeling Approach for Building HVAC Systems, ASME Dynamic Systems and Control Conference (2015)