Corso di laurea di 1° livello

• Fisica dell'edificio e climatizzazione. A.A. 2021/22, 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. 2022/23, INGEGNERIA ENERGETICA. Collaboratore del corso
• Fisica dell'edificio e climatizzazione. A.A. 2023/24, INGEGNERIA ENERGETICA. Collaboratore del corso
• Fisica dell'edificio e climatizzazione. A.A. 2023/24, INGEGNERIA ENERGETICA. Collaboratore del corso

• Coraci, Davide (2025)
  Transfer learning to enhance the scalability of artificial intelligence-based control strategies in buildings. relatore: CAPOZZOLI, ALFONSO; , 37. XXXVII Ciclo, P.: 309
  Doctoral Thesis
• Coraci, Davide; Silvestri, Alberto; Razzano, Giuseppe; Fop, Davide; Brandi, Silvio; ... (2025)
  A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study. In: ENERGY AND BUILDINGS, vol. 329. ISSN 0378-7788
  Contributo su Rivista
• Silvestri, Alberto; Coraci, Davide; Brandi, Silvio; Capozzoli, Alfonso; Schlueter, Arno (2025)
  Practical deployment of reinforcement learning for building controls using an imitation learning approach. In: ENERGY AND BUILDINGS, vol. 335. ISSN 0378-7788
  Contributo su Rivista
• 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
• 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
• 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
• Brandi, S.; Coraci, D.; Borello, D.; Capozzoli, A. (2022)
  Energy Management of a Residential Heating System Through Deep Reinforcement Learning. In: 13th KES International Conference on Sustainability and Energy in Buildings, SEB 2021, 2021, pp. 329-339. ISSN 2190-3018. ISBN: 978-981-16-6268-3
  Contributo in Atti di Convegno (Proceeding)
• Coraci, D.; Brandi, S.; Piscitelli, M. S.; Capozzoli, A. (2021)
  Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings. In: ENERGIES, vol. 14. ISSN 1996-1073
  Contributo su Rivista
• Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A. (2021)
  Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings. In: ENERGIES, vol. 14. ISSN 1996-1073
  Contributo su Rivista