Research Output per Year
Research Output per Year
Overview
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.
Research Interests
System identification
Model predictive control
Machine learning
Professional Experience
Prior to working at NREL, Chintala 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.
Education/Academic Qualification
PhD, Mechanical Engineering, Texas A&M University
Master, Mechanical Engineering, Texas A&M University
Fingerprint
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Adaptive Computing for Scale-Up Problems
Griffin, K., Egan, H., Henry de Frahan, M., Mueller, J., Vaidhynathan, D., Wald, D., Chintala, R., Doronina, O., Sitaraman, H., Young, E., King, R., Sanyal, J., Day, M. & Larsen, R., 2025, In: Computing in Science and Engineering. 27, 1, p. 28-38 11 p.Research output: Contribution to journal › Article › peer-review
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Multi-Fidelity Modeling and Control for Building Temperature Control
Wald, D., Johnson, K., Doronina, O., Chintala, R., King, R., Vaidhynathan, D. & Sanyal, J., 2024, 28 p.Research output: NREL › Presentation
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Sensitivity Analysis of an Automated Fault Detection Algorithm for Residential Air-Conditioning Systems: Article No. 121895
Chintala, R., Winkler, J., Ramaraj, S. & Jin, X., 2024, In: Applied Thermal Engineering. 238, 12 p.Research output: Contribution to journal › Article › peer-review
2 Scopus Citations -
Reinforcement Learning for Building Control and its Real-World Implementation
Bernstein, A., Zhang, X., Chintala, R., Chen, Y., Jin, X., Graf, P., Henze, G., Dall'Anese, E., Dey, S., Marzullo, T. & Ospina, A., 2023, National Renewable Energy Laboratory (NREL).Research output: NREL › Poster
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Shifting Demand: Reduction in Necessary Storage Capacity Through Tracking of Renewable Energy Generation: Article No. 100131
Wald, D., Johnson, K., King, J., Comden, J., Bay, C., Chintala, R., Vijayshankar, S. & Vaidhynathan, D., 2023, In: Advances in Applied Energy. 10, 17 p.Research output: Contribution to journal › Article › peer-review
23 Scopus Citations