Research Activity per Year


Personal Profile

Rohit Chintala is a researcher in the Residential Buildings Research Group at NREL. His research primarily focuses on fault detection and diagnosis, building energy modeling, and developing advanced control methodologies for greater adoption of renewable energy resources. His background is in system identification, control theory, machine learning, and mathematical optimization.

Prior to working at NREL, Rohit was a doctoral student in the Mechanical Engineering Department of Texas A&M University, where he proposed an automated method for developing thermodynamic models of multi-zone buildings at a large scale for implementing advanced controls such as model predictive control. 

Research Interests

System Identification

Model Predictive Control

Machine Learning

Education/Academic Qualification

PhD, Mechanical Engineering, Texas A&M University

Master, Mechanical Engineering, Texas A&M University


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