| Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control A Silvestri, D Coraci, S Brandi, A Capozzoli, E Borkowski, J Köhler, D Wu, ... Applied Energy 368, 123447, 2024 | 10 | 2024 |
| Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control A Silvestri, D Coraci, D Wu, E Borkowski, A Schlueter Journal of Physics: Conference Series 2600 (7), 072011, 2023 | 5 | 2023 |
| Data-driven reduced order modelling using clusters of thermal dynamics A Silvestri, G Lydon, C Waibel, D Wu, A Schlueter Proceedings of Building Simulation 2023: 18th Conference of IBPSA 18, 1145-1152, 2023 | 1 | 2023 |
| A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: the HiLo case study D Coraci, A Silvestri, G Razzano, D Fop, S Brandi, E Borkowski, T Hong, ... Energy and Buildings, 115254, 2025 | | 2025 |
| Reinforcement learning control for energy efficient buildings A Silvestri ETH Zurich, 2024 | | 2024 |
Davide CoraciResearch AI Engineer - EnergyWise | PhD Candidate in Energetics - Politecnico di Torino polito.it ĵʼ֤
