CORACI, DAVIDE

CORACI, DAVIDE  

Dipartimento Energia  

055339  

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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
Energy Management of a Residential Heating System Through Deep Reinforcement Learning / Brandi, S.; Coraci, D.; Borello, D.; Capozzoli, A.. - STAMPA. - 263:(2022), pp. 329-339. (Intervento presentato al convegno 13th KES International Conference on Sustainability and Energy in Buildings, SEB 2021 nel 2021) [10.1007/978-981-16-6269-0_28]. 1-gen-2022 Brandi S.Coraci D.Capozzoli A. + Energy Management of a Residential Heating System Through Deep Reinforcement Learning.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.pdfOnline transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings.pdf
Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control / Silvestri, Alberto; Coraci, Davide; Wu, Duan; Borkowski, Esther; Schlueter, Arno. - 2600 (7):(2023). (Intervento presentato al convegno CISBAT 2023 tenutosi a Losanna (CHE) nel September 2023) [10.1088/1742-6596/2600/7/072011]. 1-gen-2023 Coraci, Davide + Silvestri_2023_J._Phys.__Conf._Ser._2600_072011.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
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