| Ten questions concerning reinforcement learning for building energy management Z Nagy, G Henze, S Dey, J Arroyo, L Helsen, X Zhang, B Chen, ... Building and Environment 241, 110435, 2023 | 26 | 2023 |
| Reinforcement learning building control approach harnessing imitation learning S Dey, T Marzullo, X Zhang, G Henze Energy and AI 14, 100255, 2023 | 17 | 2023 |
| A high-fidelity building performance simulation test bed for the development and evaluation of advanced controls T Marzullo, S Dey, N Long, J Leiva Vilaplana, G Henze Journal of Building Performance Simulation 15 (3), 379-397, 2022 | 13 | 2022 |
| A computational toolchain for the automatic generation of multiple Reduced-Order Models from CFD simulations T Marzullo, MM Keane, M Geron, RFD Monaghan Energy 180, 511-519, 2019 | 10 | 2019 |
| Inverse reinforcement learning control for building energy management S Dey, T Marzullo, G Henze Energy and Buildings 286, 112941, 2023 | 8 | 2023 |
| A comparative study of computational algorithms used in the automatic generation of reduced-order models from CFD simulations T Marzullo, S Yousefian, MM Keane, M Geron, RFD Monaghan 3rd Building Simulation Applications conference proceedings, 2017 | 3 | 2017 |
| Reinforcement Learning for Building Control and its Real-World Implementation A Bernstein, X Zhang, R Chintala, Y Chen, X Jin, P Graf, G Henze, ... National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2023 | | 2023 |
| Towards the automatic generation of zonal models from CFD simulations T Marzullo, M Geron NUI Galway, 2020 | | 2020 |
| An Evaluation of Computational Algorithms in the Automatic Generation of Zonal Reduced-Order Models from CFD Simulations T Marzullo, M Keane, M Geron, RFD Monaghan Building Simulation and Optimization, 2018 | | 2018 |
