| An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks MS Piscitelli, G Razzano, G Buscemi, A Capozzoli Energy and Buildings 328, 115115, 2025 | 2 | 2025 |
| Rule extraction from deep reinforcement learning controller and comparative analysis with ASHRAE control sequences for the optimal management of Heating, Ventilation, and Air … G Razzano, S Brandi, MS Piscitelli, A Capozzoli Applied Energy 381, 125046, 2025 | | 2025 |
| 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 329, 115254, 2025 | | 2025 |
| Enhancing Energy Efficiency and Flexibility in Educational Buildings Through a Deep Reinforcement Learning-Based Controller for Rooftop Units S Brandi, A Pizza, G Buscemi, G Razzano, A Capozzoli International Association of Building Physics, 51-57, 2025 | | 2025 |
| Centralized Deep Reinforcement Learning-Based Controller to optimise the operation of DX Rooftop Units in university classrooms G Buscemi, FL Cappiello, G Razzano, FP Cuomo, S Brandi 19th Conference on Sustainable Development of Energy, Water and Environment …, 2024 | | 2024 |