
Ph.D. candidate in Energetica , 38th cycle (2022-2025)
Department of Energy (DENERG)
Profile
PhD
Research topic
Investigation of novel control strategies for the energy performance enhancement in buildings
Tutors
Research interests
Biography
Teaching
Teachings
Master of Science
- Challenge@PoliTo by Firms - Enertech. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
Publications
Last years publications
PoliTO co-authors
Publications by type
Latest publications View all publications in Porto@Iris
- Coraci, Davide; Silvestri, Alberto; Razzano, Giuseppe; Fop, Davide; Brandi, Silvio; ... (2025)
A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study. In: ENERGY AND BUILDINGS, vol. 329. ISSN 0378-7788
Contributo su Rivista - Fop, D.; Yaghoubi, A. R.; Capozzoli, A. (2024)
Validation of a Model Predictive Control Strategy on a High Fidelity Building Emulator. In: ENERGIES, vol. 17, pp. 1-20. ISSN 1996-1073
Contributo su Rivista