FOP, DAVIDE
FOP, DAVIDE
Dipartimento Energia
056623
Mostra
records
Risultati 1 - 2 di 2 (tempo di esecuzione: 0.003 secondi).
A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study
2025 Coraci, Davide; Silvestri, Alberto; Razzano, Giuseppe; Fop, Davide; Brandi, Silvio; Borkowski, Esther; Hong, Tianzhen; Schlueter, Arno; Capozzoli, Alfonso
Validation of a Model Predictive Control Strategy on a High Fidelity Building Emulator
2024 Fop, D.; Yaghoubi, A. R.; Capozzoli, A.
Citazione | Data di pubblicazione | Autori | File |
---|---|---|---|
A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study / Coraci, Davide; Silvestri, Alberto; Razzano, Giuseppe; Fop, Davide; Brandi, Silvio; Borkowski, Esther; Hong, Tianzhen; Schlueter, Arno; Capozzoli, Alfonso. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - 329:(2025). [10.1016/j.enbuild.2024.115254] | 1-gen-2025 | Davide CoraciGiuseppe RazzanoDavide FopSilvio BrandiAlfonso Capozzoli + | - |
Validation of a Model Predictive Control Strategy on a High Fidelity Building Emulator / Fop, D.; Yaghoubi, A. R.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 17:20(2024), pp. 1-20. [10.3390/en17205117] | 1-gen-2024 | Fop D.Capozzoli A. + | energies-17-05117.pdf |