Archivio Istituzionale della RicercaCORACI, DAVIDE
CORACI, DAVIDE
Dipartimento Energia
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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
Practical deployment of reinforcement learning for building controls using an imitation learning approach
2025 Silvestri, Alberto; Coraci, Davide; Brandi, Silvio; Capozzoli, Alfonso; Schlueter, Arno
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems
2024 Coraci, Davide; Brandi, Silvio; Hong, Tianzhen; Capozzoli, Alfonso
Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control
2024 Silvestri, Alberto; Coraci, Davide; Brandi, Silvio; Capozzoli, Alfonso; Borkowski, Esther; Köhler, Johannes; Wu, Duan; Zeilinger, Melanie N.; Schlueter, Arno
Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings
2023 Coraci, D.; Brandi, S.; Capozzoli, A.
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
2023 Coraci, Davide; Brandi, Silvio; Hong, Tianzhen; Capozzoli, Alfonso
Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings
2021 Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.
Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings
2021 Coraci, D.; Brandi, S.; Piscitelli, M. S.; 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 + | 1-s2.0-S0378778824013707-main.pdf |
| Practical deployment of reinforcement learning for building controls using an imitation learning approach / Silvestri, Alberto; Coraci, Davide; Brandi, Silvio; Capozzoli, Alfonso; Schlueter, Arno. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - 335:(2025). [10.1016/j.enbuild.2025.115511] | 1-gen-2025 | Davide CoraciSilvio BrandiAlfonso Capozzoli + | Practical deployment of reinforcement learning for building controls using an imitation learning approach.pdf |
| An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems / Coraci, Davide; Brandi, Silvio; Hong, Tianzhen; Capozzoli, Alfonso. - In: BUILDING SIMULATION. - ISSN 1996-3599. - (2024). [10.1007/s12273-024-1109-6] | 1-gen-2024 | Coraci, DavideBrandi, SilvioCapozzoli, Alfonso + | An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems.pdf |
| Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control / Silvestri, Alberto; Coraci, Davide; Brandi, Silvio; Capozzoli, Alfonso; Borkowski, Esther; Köhler, Johannes; Wu, Duan; Zeilinger, Melanie N.; Schlueter, Arno. - In: APPLIED ENERGY. - ISSN 0306-2619. - 368:(2024). [10.1016/j.apenergy.2024.123447] | 1-gen-2024 | Davide CoraciSilvio BrandiAlfonso Capozzoli + | Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control.pdf |
| Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings / Coraci, D.; Brandi, S.; Capozzoli, A.. - In: ENERGY CONVERSION AND MANAGEMENT. - ISSN 0196-8904. - STAMPA. - 291:(2023). [10.1016/j.enconman.2023.117303] | 1-gen-2023 | Coraci D.Brandi S.Capozzoli A. | Capozzoli-Effective.pdf |
| Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings / Coraci, Davide; Brandi, Silvio; Hong, Tianzhen; Capozzoli, Alfonso. - In: APPLIED ENERGY. - ISSN 0306-2619. - STAMPA. - 333:(2023), p. 120598. [10.1016/j.apenergy.2022.120598] | 1-gen-2023 | Davide CoraciSilvio BrandiAlfonso Capozzoli + | 1-s2.0-S0306261922018554-main.pdf; Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings.pdf |
| Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings / Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 14:10(2021), p. 2933. [10.3390/en14102933] | 1-gen-2021 | Deltetto D.Coraci D.Pinto G.Piscitelli M. S.Capozzoli A. | energies-14-02933-v2 (1).pdf |
| Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings / Coraci, D.; Brandi, S.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - 14:4(2021), p. 997. [10.3390/en14040997] | 1-gen-2021 | Coraci D.Brandi S.Piscitelli M. S.Capozzoli A. | energies-14-00997-v2.pdf |