Research Output per Year
Research Output per Year
Overview
Personal Profile
Thibault Marzullo joined NREL’s Commercial Buildings Research Group’s Controls and Advanced Analytics section in February 2022, where he contributes to several projects in the fields of software development, semantic interoperability, building energy modeling, and energy justice. He is also a principal investigator for the Wells Fargo Innovation Incubator, co-founded and managed by NREL.
Marzullo has experience in advanced control algorithms, machine learning, modeling and model order reduction, teaching engineering courses, computer vision, experiment design, and data acquisition.
Research Interests
Systems control
Machine learning
Reduced order modeling
Building resilience
Education/Academic Qualification
Master, Diplome d’Ingenieur (Mechanical Engineering), Institut Superieur de l’Automobile et des Transports, Nevers (France)
PhD, Mechanical Engineering, National University of Ireland, Galway
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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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Inverse Reinforcement Learning Control for Building Energy Management
Dey, S., Marzullo, T. & Henze, G., 2023, In: Energy and Buildings. 286, 14 p., 112941.Research output: Contribution to journal › Article › peer-review
11 Scopus Citations -
Reinforcement Learning Building Control Approach Harnessing Imitation Learning
Dey, S., Marzullo, T., Zhang, X. & Henze, G., 2023, In: Energy and AI. 14, 13 p., 100255.Research output: Contribution to journal › Article › peer-review
Open Access14 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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Ten Questions Concerning Reinforcement Learning for Building Energy Management
Nagy, Z., Henze, G., Dey, S., Arroyo, J., Helsen, L., Zhang, X., Chen, B., Amasyali, K., Kurte, K., Zamzam, A., Zandi, H., Drgona, J., Quintana, M., McCullogh, S., Park, J., Li, H., Hong, T., Brandi, S., Pinto, G. & Capozzoli, A. & 5 others, , 2023, In: Building and Environment. 241, 18 p., 110435.Research output: Contribution to journal › Article › peer-review
24 Scopus Citations -
A High-Fidelity Building Performance Simulation Test Bed for the Development and Evaluation of Advanced Controls
Marzullo, T., Dey, S., Long, N., Vilaplana, J. & Henze, G., 2022, In: Journal of Building Performance Simulation. 15, 3, p. 379-397 19 p.Research output: Contribution to journal › Article › peer-review
Open Access13 Scopus Citations