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