Ph.D. candidate in Energetica , 38th cycle (2022-2025) Department of Energy (DENERG) davide.fop@polito.it Profile PhD Tutors Alfonso Capozzoli Stefano Paolo Corgnati Cristina Becchio Teaching Teachings Master of Science Challenge@PoliTo by Firms - Enertech. A.A. 2022/23, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso MostraNascondi A.A. passati 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
