Archivio Istituzionale della RicercaBRANDI, SILVIO
BRANDI, SILVIO
Dipartimento Energia
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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
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
A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings
2022 Brandi, S.; Gallo, A.; Capozzoli, A.
Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management
2022 Brandi, S.; Fiorentini, M.; 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.
A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings
2020 Piscitelli, M. S.; Brandi, S.; Capozzoli, A.; Xiao, F.
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings
2020 Brandi, S.; Piscitelli, M. S.; Martellacci, M.; Capozzoli, A.
Recognition and classification of typical load profiles in buildings with non-intrusive learning approach
2019 Piscitelli, M. S.; Brandi, S.; Capozzoli, A.
Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings
2018 Capozzoli, Alfonso; Piscitelli, Marco Savino; Brandi, Silvio; Grassi, Daniele; Chicco, Gianfranco
Mining typical load profiles in buildings to support energy management in the smart city context
2017 Capozzoli, Alfonso; Piscitelli, Marco Savino; Brandi, Silvio
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings / Brandi, S.; Gallo, A.; Capozzoli, A.. - In: ENERGY REPORTS. - ISSN 2352-4847. - 8:(2022), pp. 1550-1567. [10.1016/j.egyr.2021.12.058] | 1-gen-2022 | Brandi S.Gallo A.Capozzoli A. | 1-s2.0-S2352484721014979.pdf |
| Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management / Brandi, S.; Fiorentini, M.; Capozzoli, A.. - In: AUTOMATION IN CONSTRUCTION. - ISSN 0926-5805. - ELETTRONICO. - 135:(2022), p. 104128. [10.1016/j.autcon.2022.104128] | 1-gen-2022 | Brandi S.Fiorentini M.Capozzoli A. | 1-s2.0-S0926580522000012-main.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 |
| A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings / Piscitelli, M. S.; Brandi, S.; Capozzoli, A.; Xiao, F.. - In: BUILDING SIMULATION. - ISSN 1996-3599. - (2020). [10.1007/s12273-020-0650-1] | 1-gen-2020 | Piscitelli M. S.Brandi S.Capozzoli A. + | Piscitelli 2020.pdf; A data analytics based tool.pdf |
| Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings / Brandi, S.; Piscitelli, M. S.; Martellacci, M.; Capozzoli, A.. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - 224:(2020), p. 110225. [10.1016/j.enbuild.2020.110225] | 1-gen-2020 | Brandi S.Piscitelli M. S.Capozzoli A. + | brandi 2020.pdf; deep reinforcement learning.pdf |
| Recognition and classification of typical load profiles in buildings with non-intrusive learning approach / Piscitelli, M. S.; Brandi, S.; Capozzoli, A.. - In: APPLIED ENERGY. - ISSN 0306-2619. - 255:(2019). [10.1016/j.apenergy.2019.113727] | 1-gen-2019 | Piscitelli M. S.Brandi S.Capozzoli A. | 1-s2.0-S030626191931414X-main.pdf; Manuscript_with no changes marked .pdf |
| Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings / Capozzoli, Alfonso; Piscitelli, Marco Savino; Brandi, Silvio; Grassi, Daniele; Chicco, Gianfranco. - In: ENERGY. - ISSN 0360-5442. - STAMPA. - 157:(2018), pp. 336-352. [10.1016/j.energy.2018.05.127] | 1-gen-2018 | Capozzoli, AlfonsoPiscitelli, Marco SavinoBrandi, SilvioGrassi, DanieleChicco, Gianfranco | - |
| Mining typical load profiles in buildings to support energy management in the smart city context / Capozzoli, Alfonso; Piscitelli, Marco Savino; Brandi, Silvio. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - 134:(2017), pp. 865-874. [10.1016/j.egypro.2017.09.545] | 1-gen-2017 | Capozzoli, AlfonsoPiscitelli, Marco SavinoBRANDI, SILVIO | 1-s2.0-S187661021734674X-main.pdf |