
Dottorato in Energetica , 35o ciclo (2019-2022)
Dottorato concluso nel 2023
Tesi:
Scaling energy management in buildings with artificial intelligence (Abstract)
Tutori:
Alfonso CapozzoliDidattica
Insegnamenti
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
Pubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, ... (2023)
A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn. In: 18th Conference of International Building Performance Simulation Association, Shangai (China), 4-6 September, pp. 1814-1821. ISSN 2522-2708
Contributo in Atti di Convegno (Proceeding) - Nweye, Kingsley; Kaspar, Kathryn; Buscemi, Giacomo; Pinto, Giuseppe; Li, Han; Hong, ... (2023)
CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities. In: 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2023, Istanbul (TUR), 2023, pp. 274-275
Contributo in Atti di Convegno (Proceeding) - Pinto, Giuseppe (2023)
Scaling energy management in buildings with artificial intelligence. relatore: CAPOZZOLI, ALFONSO; , 35. XXXV Ciclo, P.: 239
Doctoral Thesis - Pinto, Giuseppe; Messina, Riccardo; Li, Han; Hong, Tianzhen; Piscitelli, Marco Savino; ... (2022)
Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics. In: ENERGY AND BUILDINGS, vol. 276. ISSN 0378-7788
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.; 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.; 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 - 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 - 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