Ph.D. candidate in Energetica , 37th cycle (2021-2024)
Department of Energy (DENERG)
Profile
PhD
Tutors
Teaching
Teachings
Bachelor of Science
- Fisica dell'edificio e climatizzazione. A.A. 2023/24, INGEGNERIA ENERGETICA. Collaboratore del corso
- Fisica dell'edificio e climatizzazione. A.A. 2022/23, INGEGNERIA ENERGETICA. Collaboratore del corso
- Fisica dell'edificio e climatizzazione. A.A. 2021/22, INGEGNERIA ENERGETICA. Collaboratore del corso
Publications
PoliTO co-authors
Latest publications View all publications in Porto@Iris
- Silvestri, Alberto; Coraci, Davide; Brandi, Silvio; Capozzoli, Alfonso; Borkowski, ... (2024)
Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control. In: APPLIED ENERGY, vol. 368. ISSN 0306-2619
Contributo su Rivista - Coraci, Davide; Brandi, Silvio; Hong, Tianzhen; Capozzoli, Alfonso (2024)
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems. In: BUILDING SIMULATION. ISSN 1996-3599
Contributo su Rivista - Silvestri, Alberto; Coraci, Davide; Wu, Duan; Borkowski, Esther; Schlueter, Arno (2023)
Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control. In: CISBAT 2023, Losanna (CHE), September 2023
Contributo in Atti di Convegno (Proceeding) - Coraci, D.; Brandi, S.; Capozzoli, A. (2023)
Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings. In: ENERGY CONVERSION AND MANAGEMENT, vol. 291. ISSN 0196-8904
Contributo su Rivista - Coraci, Davide; Brandi, Silvio; Hong, Tianzhen; Capozzoli, Alfonso (2023)
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings. In: APPLIED ENERGY, vol. 333. ISSN 0306-2619
Contributo su Rivista