Ph.D. in Energetica , 32nd cycle (2016-2019)
Ph.D. obtained in 2020
Dissertation:
Enhancing energy management in buildings through data analytics technologies (Abstract)
Tutors:
Alfonso Capozzoli Marco PerinoProfile
Research interests
Scientific branch
(Area 0009 - Industrial and information engineering)
Teaching
Collegi of the degree programmes
- Collegio di Architettura e Design. Componente
- Collegio di Ingegneria Elettrica ed Energetica. Componente
Teachings
Bachelor of Science
- Energetica dell'edificio. A.A. 2017/18, INGEGNERIA ENERGETICA. Collaboratore del corso
- Energetica dell'edificio. A.A. 2017/18, INGEGNERIA ENERGETICA. Collaboratore del corso
- Energetica dell'edificio. A.A. 2018/19, INGEGNERIA ENERGETICA. Collaboratore del corso
- Energetica dell'edificio. A.A. 2018/19, INGEGNERIA ENERGETICA. Collaboratore del corso
- Fisica dell'edificio e climatizzazione. A.A. 2019/20, INGEGNERIA ENERGETICA. Collaboratore del corso
- Fisica dell'edificio e climatizzazione. A.A. 2019/20, INGEGNERIA ENERGETICA. 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
Supervised PhD students
- Simone Amico. Programme in Energetica (cycle 40, 2025-in progress)
Research subject: Development of an innovative framework that leverages knowledge graphs and AI models to enhance interoperability, energy optimization, and real-time building management.
Energy efficiency in buildings and in industry Smart buildings and urban energy modelling Energy efficiency in buildings and in industry Smart buildings and urban energy modelling Energy efficiency in buildings and in industry Smart buildings and urban energy modelling - Federica Gallina. Programme in Design E Tecnologia. Persone, Ambiente, Sistemi (cycle 40, 2024-in progress)
Research subject: Development of strategies and technologies for net-zero carbon buildings, applying LCA methods for operational and embodied carbon accounting. Benchmark analysis and thresholds based on case studies
SUSTAINABLE AND CIRCULAR SYSTEMS SUSTAINABLE AND CIRCULAR SYSTEMS - Francesco Pavarelli. Programme in Energetica (cycle 40, 2025-in progress)
- Giacomo Buscemi. Programme in Energetica (cycle 38, 2022-in progress)
Research subject: Development of advanced algorithms for optimal control of multi-energy energy hubs through data analytics, energy modelling and co-simulation techniques
Energy efficiency in buildings and in industry Smart buildings and urban energy modelling Energy systems sustainability and optimization Energy efficiency in buildings and in industry Smart buildings and urban energy modelling Energy systems sustainability and optimization - Rocco Giudice. Programme in Energetica (cycle 38, 2022-in progress)
Research subject: Scalable and Interoperable AI-based Energy Management and Information Systems in buildings
Innovative Energy Systems Energy efficiency in buildings and in industry Innovative HVAC systems Smart buildings and urban energy modelling Innovative Energy Systems Energy efficiency in buildings and in industry Innovative HVAC systems Smart buildings and urban energy modelling
Publications
PoliTO co-authors
Last years publications
Publications by type
Works published during the Ph.D. View all publications in Porto@Iris
- Piscitelli, M. S.; Mazzarelli, D. M.; Capozzoli, A. (2020)
Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules. In: ENERGY AND BUILDINGS, vol. 226. ISSN 0378-7788
Contributo su Rivista - Piscitelli, MARCO SAVINO (2020)
Enhancing energy management in buildings through data analytics technologies. relatore: CAPOZZOLI, ALFONSO; PERINO, MARCO; , 32. XXXII Ciclo, P.: 219
Doctoral Thesis - 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) - Piscitelli, MARCO SAVINO; Brandi, Silvio; Gennaro, Giovanni; Capozzoli, Alfonso; ... (2020)
Advanced Control Strategies For The Modulation of Solar Radiation In Buildings: MPC-enhanced Rule-based Control. In: International Building Performance Simulation Conference, Roma, September 2019
Contributo in Atti di Convegno (Proceeding) - 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 - Attanasio, Antonio; Piscitelli, Marco; Chiusano, Silvia; Capozzoli, Alfonso; ... (2019)
Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates. In: ENERGIES, vol. 12, pp. 1273-1297. ISSN 1996-1073
Contributo su Rivista - Capozzoli, Alfonso; Piscitelli, Marco Savino; Brandi, Silvio; Grassi, Daniele; Chicco, ... (2018)
Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings. In: ENERGY, vol. 157, pp. 336-352. ISSN 0360-5442
Contributo su Rivista - DI CORSO, Evelina; Cerquitelli, Tania; Piscitelli, MARCO SAVINO; Capozzoli, Alfonso (2017)
Exploring energy certificates of buildings through unsupervised data mining techniques. In: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, UK, 21-23 June 2017, pp. 991-998. ISBN: 978-1-5386-3066-2
Contributo in Atti di Convegno (Proceeding) - Capozzoli, Alfonso; Piscitelli, Marco Savino; Brandi, Silvio (2017)
Mining typical load profiles in buildings to support energy management in the smart city context. In: ENERGY PROCEDIA, vol. 134, pp. 865-874. ISSN 1876-6102
Contributo su Rivista - Capozzoli, Alfonso; Serale, Gianluca; Piscitelli, MARCO SAVINO; Grassi, Daniele (2017)
Data mining for energy analysis of a large data set of flats. In: PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS. ENGINEERING SUSTAINABILITY, pp. 1-16. ISSN 1478-4629
Contributo su Rivista - Capozzoli, Alfonso; Piscitelli, MARCO SAVINO; Gorrino, Alice; Ballarini, Ilaria; ... (2017)
Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings. In: SUSTAINABLE CITIES AND SOCIETY, vol. 35, pp. 191-208. ISSN 2210-6707
Contributo su Rivista - Capozzoli, Alfonso; Piscitelli, MARCO SAVINO; Neri, Francesco; Grassi, Daniele; Serale, ... (2016)
A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient Healthcare Centres. In: APPLIED ENERGY, vol. 171, pp. 592-607. ISSN 0306-2619
Contributo su Rivista - Capozzoli, Alfonso; Corrado, Vincenzo; Gorrino, Alice; Madrazo, Leandro; Piscitelli, ... (2016)
MANAGEMENT STRATEGIES FOR THE ENERGY SAVING OF PUBLIC BUILDINGS THROUGH A DECISION SUPPORT SYSTEM. In: NEWDIST, vol. Special Issue, pp. 406-415. ISSN 2283-8791
Contributo su Rivista - Capozzoli, Alfonso; Cerquitelli, Tania; Piscitelli, MARCO SAVINO (2016)
Enhancing energy efficiency in buildings through innovative data analytics technologies. In: Pervasive Computing Next Generation Platforms for Intelligent Data Collection / Dobre C. , Xhafa F., Cambridge, Massachusetts, Academic Press, pp. 353-389. ISBN: 978-0-12-803663-1
Contributo in Volume
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