Corso di laurea magistrale

• Atelier finale di Progettazione B (modulo di Tecniche del controllo ambientale). A.A. 2020/21, ARCHITETTURA PER IL PROGETTO SOSTENIBILE. Collaboratore del corso
• Atelier finale di Progettazione B (modulo di Tecniche del controllo ambientale). A.A. 2021/22, ARCHITETTURA PER IL PROGETTO SOSTENIBILE. Collaboratore del corso
• Models and scenarios for energy planning. A.A. 2020/21, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso
• Models and scenarios for energy planning. A.A. 2021/22, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso

• Pinto, Giuseppe (2023)
  Scaling energy management in buildings with artificial intelligence. relatore: CAPOZZOLI, ALFONSO; , 35. XXXV Ciclo, P.: 239
  Doctoral Thesis
• Pinto, G.; Wang, Z.; Roy, A.; Hong, T.; Capozzoli, A. (2022)
  Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives. In: ADVANCES IN APPLIED ENERGY, vol. 5. ISSN 2666-7924
  Contributo su Rivista
• Pinto, G.; Kathirgamanathan, A.; Mangina, E.; Finn, D. P.; Capozzoli, A. (2022)
  Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures. In: APPLIED ENERGY, vol. 310. ISSN 0306-2619
  Contributo su Rivista
• Li, H.; Pinto, G.; Capozzoli, A.; Hong, T. (2022)
  Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset. In: BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Boston (USA), 9 - 10 Novembre, 2022, pp. 242-245. ISBN: 9781450398909
  Contributo in Atti di Convegno (Proceeding)
• Pinto, G.; Deltetto, D.; Capozzoli, A. (2021)
  Data-driven district energy management with surrogate models and deep reinforcement learning. In: APPLIED ENERGY, vol. 304. ISSN 0306-2619
  Contributo su Rivista
• Pinto, G.; Piscitelli, M. S.; Vazquez-Canteli, J. R.; Nagy, Z.; Capozzoli, A. (2021)
  Coordinated energy management for a cluster of buildings through deep reinforcement learning. In: ENERGY, vol. 229. ISSN 0360-5442
  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
• Pinto, G.; Capozzoli, A.; Piscitelli, M. S.; Savoldi, L. (2020)
  The impact of stakeholder preferences in multicriteria evaluation for the retrofitting of office buildings in Italy. In: 11th International Conference on Sustainability and Energy in Buildings, SEB 2019, Budapest (HUN), 4th -5th July 2019, pp. 581-591. ISSN 2190-3018. ISBN: 978-981-32-9867-5
  Contributo in Atti di Convegno (Proceeding)
• Pinto, Giuseppe; Abdollahi, E; Capozzoli, A.; Savoldi, L.; Lahdelma, R. (2019)
  Optimization and Multicriteria Evaluation of Carbon-neutral Technologies for District Heating. In: ENERGIES, vol. 12. ISSN 1996-1073
  Contributo su Rivista