Ph.D. candidate in Energetica , 38th cycle (2022-2025)
Department of Energy (DENERG)
Adjunct lecturer/Adjunct instructor
Department of Energy (DENERG)
Profile
PhD
Research topic
Development of advanced algorithms for optimal control of multi-energy energy hubs through data analytics, energy modelling and co-simulation techniques
Tutors
Keywords
Teaching
Teachings
Bachelor of Science
- Fisica dell'edificio e climatizzazione. A.A. 2025/26, INGEGNERIA ENERGETICA. Collaboratore del corso
Publications
PoliTO co-authors
Last years publications
Publications by type
Latest publications View all publications in Porto@Iris
- Piscitelli, M. S.; Buscemi, G.; Roselli, C.; Marrasso, E.; Pallotta, G.; Capozzoli, A. (2026)
A novel data-analytics based process for load profiling and meter-level anomaly detection in building energy consumption time series. In: ENERGY AND BUILDINGS, vol. 368. ISSN 0378-7788
Contributo su Rivista - Marrasso, Elisa; Roselli, Carlo; Pallotta, Giovanna; Capozzoli, Alfonso; Buscemi, ... (2026)
Novel load-breakdown methodology for a university office building. In: ENERGY AND BUILDINGS, vol. 351. ISSN 0378-7788
Contributo su Rivista - Buscemi, Giacomo; Paolo Cuomo, Francesco; Razzano, Giuseppe; Liberato Cappiello, ... (2025)
Deep reinforcement learning-based control of thermal energy storage for university classrooms: Co-Simulation with TRNSYS-Python and transfer learning across operational scenarios. In: ENERGY REPORTS, vol. 14, pp. 1349-1367. ISSN 2352-4847
Contributo su Rivista - 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) - 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)