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Mostrati risultati da 1 a 14 di 14
Mining typical load profiles in buildings to support energy management in the smart city context
2017 Capozzoli, Alfonso; Piscitelli, Marco Savino; Brandi, Silvio
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
Recognition and classification of typical load profiles in buildings with non-intrusive learning approach
2019 Piscitelli, M. S.; Brandi, S.; Capozzoli, A.
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings
2020 Brandi, S.; Piscitelli, M. S.; Martellacci, M.; 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.
Advanced Control Strategies For The Modulation of Solar Radiation In Buildings: MPC-enhanced Rule-based Control
2020 Piscitelli, MARCO SAVINO; Brandi, Silvio; Gennaro, Giovanni; Capozzoli, Alfonso; Favoino, Fabio; Serra, Valentina
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 predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings
2022 Brandi, S.; Gallo, A.; Capozzoli, A.
Energy Management of a Residential Heating System Through Deep Reinforcement Learning
2022 Brandi, S.; Coraci, D.; Borello, D.; 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.
Deep Reinforcement Learning-based Control Strategies for Enhancing Energy Management in HVAC Systems
2022 Brandi, Silvio
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
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.
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
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 | - |
| 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 |
| 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 |
| 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 |
| Advanced Control Strategies For The Modulation of Solar Radiation In Buildings: MPC-enhanced Rule-based Control / Piscitelli, MARCO SAVINO; Brandi, Silvio; Gennaro, Giovanni; Capozzoli, Alfonso; Favoino, Fabio; Serra, Valentina. - STAMPA. - 16:(2020). (Intervento presentato al convegno International Building Performance Simulation Conference tenutosi a Roma nel September 2019). | 1-gen-2020 | Marco Savino PiscitelliSilvio BrandiGiovanni GennaroAlfonso CapozzoliFabio FavoinoValentina Serra | - |
| 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 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 |
| 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 |
| 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 |
| Deep Reinforcement Learning-based Control Strategies for Enhancing Energy Management in HVAC Systems / Brandi, Silvio. - (2022 Jul 07), pp. 1-220. | 7-lug-2022 | BRANDI, SILVIO | PhD_Thesis_Brandi.pdf; PhD_Thesis_Brandi_Abstract.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 |
| 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 |
| 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 |
Mostrati risultati da 1 a 14 di 14
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