CAPOZZOLI, ALFONSO
CAPOZZOLI, ALFONSO
Dipartimento Energia
022292
A holistic time series-based energy benchmarking framework for applications in large stocks of buildings
2024 Piscitelli, Marco Savino; Giudice, Rocco; Capozzoli, Alfonso
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
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset
2024 Li, H.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.; Hong, T.
Thermofluid dynamics and droplets transport inside a large university classroom: Effects of occupancy rate and volumetric airflow
2024 D'Alicandro, A. C.; Capozzoli, A.; Mauro, A.
A review of data-driven fault detection and diagnostics for building HVAC systems
2023 Chen, Z.; O'Neill, Z.; Wen, J.; Pradhan, O.; Yang, T.; Lu, X.; Lin, G.; Miyata, S.; Lee, S.; Shen, C.; Chiosa, R.; Piscitelli, M. S.; Capozzoli, A.; Hengel, F.; Kuhrer, A.; Pritoni, M.; Liu, W.; Clauss, J.; Chen, Y.; Herr, T.
Data-driven fault detection and diagnosis: research and applications for HVAC systems in buildings
2023 Rosato, A.; Piscitelli, M. S.; Capozzoli, A.
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.
Guida alla valutazione dei ponti termici. Conforme alle norme UNI EN ISO 14683 e UNI EN ISO 10211.
2023 Gorrino, Alice; Capozzoli, Alfonso; Corrado, Vincenzo; Soma, Paola
Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts
2023 Fan, C.; Lin, Y.; Piscitelli, M. S.; Chiosa, R.; Wang, H.; Capozzoli, A.; Ma, Y.
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
RECsim—Virtual Testbed for Control Strategies Implementation in Renewable Energy Communities
2023 Gallo, A.; Piscitelli, M. S.; Fenili, L.; Capozzoli, A.
Towards automated fault detection and diagnosis in district heating customers: generation and analysis of a labeled dataset with ground truth
2023 Leiria, D.; Andersen, K. H.; Melgaard, S. P.; Johra, H.; Marszal-Pomianowska, A.; Piscitelli, M. S.; Capozzoli, A.; Pomianowski, M. Z.
A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings
2022 Brandi, S.; Gallo, A.; Capozzoli, A.
Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings
2022 Galli, A.; Piscitelli, M. S.; Moscato, V.; Capozzoli, A.
Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset
2022 Li, H.; Pinto, G.; Capozzoli, A.; Hong, T.
Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management
2022 Brandi, S.; Fiorentini, M.; Capozzoli, A.
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context
2022 Fan, C.; Lei, Y.; Sun, Y.; Piscitelli, M. S.; Chiosa, R.; Capozzoli, A.
Energy Management of a Residential Heating System Through Deep Reinforcement Learning
2022 Brandi, S.; Coraci, D.; Borello, D.; Capozzoli, A.
Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures
2022 Pinto, G.; Kathirgamanathan, A.; Mangina, E.; Finn, D. P.; Capozzoli, A.
Experimental assessment of ground-truth faults in a typical single-duct dual-fan air-handling unit under Mediterranean climatic conditions: Impact scenarios of sensors? offset and fans? failure
2022 Rosato, A; Guarino, F; El Youssef, M; Capozzoli, A; Masullo, M; Maffei, L
Citazione | Data di pubblicazione | Autori | File |
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A holistic time series-based energy benchmarking framework for applications in large stocks of buildings / Piscitelli, Marco Savino; Giudice, Rocco; Capozzoli, Alfonso. - In: APPLIED ENERGY. - ISSN 0306-2619. - ELETTRONICO. - 357:(2024). [10.1016/j.apenergy.2023.122550] | 1-gen-2024 | Piscitelli, Marco SavinoGiudice, RoccoCapozzoli, Alfonso | - |
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 |
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset / Li, H.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.; Hong, T.. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - ELETTRONICO. - 130:(2024). [10.1016/j.engappai.2023.107701] | 1-gen-2024 | Pinto G.Piscitelli M. S.Capozzoli A. + | Building thermal dynamics modeling with deep transfer learning using a.pdf |
Thermofluid dynamics and droplets transport inside a large university classroom: Effects of occupancy rate and volumetric airflow / D'Alicandro, A. C.; Capozzoli, A.; Mauro, A.. - In: JOURNAL OF AEROSOL SCIENCE. - ISSN 0021-8502. - 175:(2024). [10.1016/j.jaerosci.2023.106285] | 1-gen-2024 | Capozzoli A. + | - |
A review of data-driven fault detection and diagnostics for building HVAC systems / Chen, Z.; O'Neill, Z.; Wen, J.; Pradhan, O.; Yang, T.; Lu, X.; Lin, G.; Miyata, S.; Lee, S.; Shen, C.; Chiosa, R.; Piscitelli, M. S.; Capozzoli, A.; Hengel, F.; Kuhrer, A.; Pritoni, M.; Liu, W.; Clauss, J.; Chen, Y.; Herr, T.. - In: APPLIED ENERGY. - ISSN 0306-2619. - ELETTRONICO. - 339:(2023), p. 121030. [10.1016/j.apenergy.2023.121030] | 1-gen-2023 | Chiosa R.Piscitelli M. S.Capozzoli A. + | 1-s2.0-S030626192300394X-main.pdf; A_review_of_data_driven_FDD_for_building_systems-accepted manuscript.pdf |
Data-driven fault detection and diagnosis: research and applications for HVAC systems in buildings / Rosato, A.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 16:2(2023), p. 854. [10.3390/en16020854] | 1-gen-2023 | Piscitelli M. S.Capozzoli A. + | Data driven Fault Detection and Diagnosis Research and Applications for HVAC Systems in 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 |
Guida alla valutazione dei ponti termici. Conforme alle norme UNI EN ISO 14683 e UNI EN ISO 10211 / Gorrino, Alice; Capozzoli, Alfonso; Corrado, Vincenzo; Soma, Paola. - STAMPA. - (2023), pp. 1-113. | 1-gen-2023 | Gorrino, AliceCapozzoli, AlfonsoCorrado, Vincenzo + | - |
Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts / Fan, C.; Lin, Y.; Piscitelli, M. S.; Chiosa, R.; Wang, H.; Capozzoli, A.; Ma, Y.. - In: BUILDING SIMULATION. - ISSN 1996-3599. - (2023). [10.1007/s12273-023-1041-1] | 1-gen-2023 | Piscitelli M. S.Chiosa R.Capozzoli A. + | - |
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 |
RECsim—Virtual Testbed for Control Strategies Implementation in Renewable Energy Communities / Gallo, A.; Piscitelli, M. S.; Fenili, L.; Capozzoli, A.. - 336 SIST:(2023), pp. 313-323. (Intervento presentato al convegno SEB 2022: Sustainability in energy and buildings 2022 tenutosi a Split, Croatia nel 14-16 September) [10.1007/978-981-19-8769-4_30]. | 1-gen-2023 | Gallo A.Piscitelli M. S.Capozzoli A. + | seb22f-047.pdf |
Towards automated fault detection and diagnosis in district heating customers: generation and analysis of a labeled dataset with ground truth / Leiria, D.; Andersen, K. H.; Melgaard, S. P.; Johra, H.; Marszal-Pomianowska, A.; Piscitelli, M. S.; Capozzoli, A.; Pomianowski, M. Z.. - In: BUILDING SIMULATION CONFERENCE PROCEEDINGS. - ISSN 2522-2708. - 18:(2023), pp. 2972-2979. (Intervento presentato al convegno Building Simulation 2023 tenutosi a Shanghai, China nel September 4-6, 2023) [10.26868/25222708.2023.1576]. | 1-gen-2023 | Piscitelli M. S.Capozzoli A. + | - |
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 |
Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings / Galli, A.; Piscitelli, M. S.; Moscato, V.; Capozzoli, A.. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - ELETTRONICO. - 206:(2022), p. 117649. [10.1016/j.eswa.2022.117649] | 1-gen-2022 | Piscitelli M. S.Capozzoli A. + | 1-s2.0-S0957417422009526-main.pdf; postprint.pdf |
Building thermal dynamics modeling with deep learning exploiting large residential smart thermostat dataset / Li, H.; Pinto, G.; Capozzoli, A.; Hong, T.. - ELETTRONICO. - (2022), pp. 242-245. (Intervento presentato al convegno BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation tenutosi a Boston (USA) nel 9 - 10 Novembre, 2022) [10.1145/3563357.3564056]. | 1-gen-2022 | Pinto G.Capozzoli A. + | 3563357.3564056.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 |
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context / Fan, C.; Lei, Y.; Sun, Y.; Piscitelli, M. S.; Chiosa, R.; Capozzoli, A.. - In: ENERGY. - ISSN 0360-5442. - ELETTRONICO. - 240:(2022), p. 122775. [10.1016/j.energy.2021.122775] | 1-gen-2022 | Piscitelli M. S.Chiosa R.Capozzoli A. + | 1-s2.0-S0360544221030243-main.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 |
Enhancing energy management in grid-interactive buildings: A comparison among cooperative and coordinated architectures / Pinto, G.; Kathirgamanathan, A.; Mangina, E.; Finn, D. P.; Capozzoli, A.. - In: APPLIED ENERGY. - ISSN 0306-2619. - STAMPA. - 310:(2022), p. 118497. [10.1016/j.apenergy.2021.118497] | 1-gen-2022 | Pinto G.Capozzoli A. + | 1-s2.0-S0306261921017128-main.pdf |
Experimental assessment of ground-truth faults in a typical single-duct dual-fan air-handling unit under Mediterranean climatic conditions: Impact scenarios of sensors? offset and fans? failure / Rosato, A; Guarino, F; El Youssef, M; Capozzoli, A; Masullo, M; Maffei, L. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 275:(2022), p. 112492. [10.1016/j.enbuild.2022.112492] | 1-gen-2022 | Capozzoli, A + | Experimental assessment of ground truth faults.pdf; ENB-S-22-02587_postprint.pdf |