Archivio Istituzionale della RicercaCAPOZZOLI, ALFONSO
CAPOZZOLI, ALFONSO
Dipartimento Energia
022292
A Data-Driven Approach to Evaluate the Smart Readiness Indicator for the Functionality “Respond to Users’ Needs”
2024 Maggiulli, Martina; Piscitelli, Marco Savino; Capozzoli, Alfonso
A holistic time series-based energy benchmarking framework for applications in large stocks of buildings
2024 Piscitelli, Marco Savino; Giudice, Rocco; Capozzoli, Alfonso
A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schema
2024 Chiosa, Roberto; Piscitelli, Marco Savino; Pritoni, Marco; 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.
Investigation of ground movements induced by underground gas storages via unsupervised ML methodology applied to InSAR data
2024 Garcia Navarro, Alberto Manuel; Rocca, Vera; Capozzoli, Alfonso; Chiosa, Roberto; Verga, Francesca
Overview on Fault Detection and Diagnosis Methods in Building HVAC Systems: Toward a Hybrid Approach
2024 Piscitelli, Marco Savino; Hooman, Armin; Rosato, Antonio; 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
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.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Data-Driven Approach to Evaluate the Smart Readiness Indicator for the Functionality “Respond to Users’ Needs” / Maggiulli, Martina; Piscitelli, Marco Savino; Capozzoli, Alfonso. - 378:(2024), pp. 589-599. (Intervento presentato al convegno SEB 2023: Sustainability in energy and buildings 2023 tenutosi a Bari (Italy) nel 18-20 September 2023) [10.1007/978-981-99-8501-2_51]. | 1-gen-2024 | Maggiulli, MartinaPiscitelli, Marco SavinoCapozzoli, Alfonso | 978-981-99-8501-2_51.pdf |
| 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 | 1-s2.0-S0306261923019141-main.pdf |
| A portable application framework for energy management and information systems (EMIS) solutions using Brick semantic schema / Chiosa, Roberto; Piscitelli, Marco Savino; Pritoni, Marco; Capozzoli, Alfonso. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - 323:(2024). [10.1016/j.enbuild.2024.114802] | 1-gen-2024 | Chiosa, RobertoPiscitelli, Marco SavinoCapozzoli, Alfonso + | 1-s2.0-S0378778824009186-main.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 |
| 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 |
| Investigation of ground movements induced by underground gas storages via unsupervised ML methodology applied to InSAR data / Garcia Navarro, Alberto Manuel; Rocca, Vera; Capozzoli, Alfonso; Chiosa, Roberto; Verga, Francesca. - In: GAS SCIENCE AND ENGINEERING. - ISSN 2949-9089. - 125:(2024), pp. 1-20. [10.1016/j.jgsce.2024.205293] | 1-gen-2024 | Garcia Navarro, Alberto ManuelRocca, VeraCapozzoli, AlfonsoChiosa, RobertoVerga, Francesca | 1-s2.0-S294990892400089X-main_compressed.pdf; Navarro_et_al2023_Manuscript_CLEAN_REVISION_18032024.docx |
| Overview on Fault Detection and Diagnosis Methods in Building HVAC Systems: Toward a Hybrid Approach / Piscitelli, Marco Savino; Hooman, Armin; Rosato, Antonio; Capozzoli, Alfonso. - 378:(2024), pp. 709-719. (Intervento presentato al convegno SEB 2023: Sustainability in energy and buildings 2023 tenutosi a Bari (Italy) nel 18-20 September 2023) [10.1007/978-981-99-8501-2_61]. | 1-gen-2024 | Piscitelli, Marco SavinoCapozzoli, Alfonso + | - |
| 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 |
| 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. + | 1-s2.0-S0021850223001507-main.pdf |
| 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 + | EDILCLIMA guida valutazione ponti termici.pdf; EDILCLIMA guida valutazione ponti termici_estratto.pdf |
| 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. + | Manuscript.pdf; s12273-023-1041-1.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 |
| 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. + | Towards-automated-fault-detection-and-diagnosis-in-district-heating-customers-generation-and-analysis-of-a-labeled-dataset-with-ground-truth.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 |
| 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 |