
Ph.D. in Energetica , 34th cycle (2018-2021)
Ph.D. obtained in 2022
Dissertation:
Deep Reinforcement Learning-based Control Strategies for Enhancing Energy Management in HVAC Systems (Abstract)
Tutors:
Alfonso CapozzoliTeaching
Collegi of the degree programmes
- Collegio di Architettura e Design. Componente invitato
- Collegio di Ingegneria Elettrica ed Energetica. Componente invitato
Teachings
Master of Science
- Atelier finale di Progettazione B (modulo di Tecniche del controllo ambientale). A.A. 2019/20, ARCHITETTURA PER IL PROGETTO SOSTENIBILE. Collaboratore del corso
- Gestione energetica e automazione negli edifici. A.A. 2020/21, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso
- Gestione energetica e automazione negli edifici. A.A. 2021/22, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso
- Models and scenarios for energy planning. A.A. 2020/21, INGEGNERIA ENERGETICA E NUCLEARE. Collaboratore del corso
Research
Research projects
Projects funded by commercial contracts
- Contratto di Ricerca commerciale avente ad oggetto “Data-Driven Performance Analysis for Industrial Energy Systems: Standardizing Analytics Processes through generative AI” , (2024-2025) - Responsabile Scientifico
Commercial Research - Advanced data-driven smart reporting systems to enhance energy management in industrial and office buildings , (2023-2024) - Responsabile Scientifico
Commercial Research
Publications
Works published during the Ph.D. View all publications in Porto@Iris
- 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) - Brandi, Silvio (2022)
Deep Reinforcement Learning-based Control Strategies for Enhancing Energy Management in HVAC Systems. relatore: CAPOZZOLI, ALFONSO; , 34. XXXIV Ciclo, P.: 220
Doctoral Thesis - Brandi, S.; Gallo, A.; Capozzoli, A. (2022)
A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings. In: ENERGY REPORTS, vol. 8, pp. 1550-1567. ISSN 2352-4847
Contributo su Rivista - Piscitelli, M. S.; Brandi, S.; Capozzoli, A.; Xiao, F. (2021)
A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings. In: BUILDING SIMULATION. ISSN 1996-3599
Contributo su Rivista - 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 - Brandi, S.; Piscitelli, M. S.; Martellacci, M.; Capozzoli, A. (2020)
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings. In: ENERGY AND BUILDINGS, vol. 224. ISSN 0378-7788
Contributo su Rivista - Piscitelli, M. S.; Brandi, S.; Capozzoli, A. (2019)
Recognition and classification of typical load profiles in buildings with non-intrusive learning approach. In: APPLIED ENERGY, vol. 255. ISSN 0306-2619
Contributo su Rivista
Society and Enterprise
Patents and other intellectual properties
- PROCESSO PER LA PREVISIONE ORARIA CON ORIZZONTE TEMPORALE DI 24H DELLA DOMANDA DI POTENZA ELETTRICA DEGLI EDIFICI BASATO SULL'UTILIZZO DI TECNICHE DI DEEP LEARNING. national Software
Inventors: Silvio Brandi Alfonso Capozzoli Marco Savino Piscitelli