Silvio Brandi
- An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems. Dans: Building Simulation, v. 17, n. 5 (janvier 2024). (2024):
- Ten questions concerning reinforcement learning for building energy management. Dans: Building and Environment, v. 241 (août 2023). (2023):
- Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management. Dans: Automation in Construction, v. 135 (mars 2022). (2022):
- A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings. Dans: Building Simulation, v. 14, n. 1 (novembre 2020). (2020):
- Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings. Dans: Energy and Buildings, v. 224 (octobre 2020). (2020):