Archivio Istituzionale della RicercaPISCITELLI, MARCO SAVINO
PISCITELLI, MARCO SAVINO
Dipartimento Energia
038021
An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks
2025 Piscitelli, Marco Savino; Razzano, Giuseppe; Buscemi, Giacomo; Capozzoli, Alfonso
Assessment of Indoor Thermo-Hygrometric Conditions and Energy Demands Associated to Filters and Dampers Faults via Experimental Tests of a Typical Air-Handling Unit During Summer and Winter in Southern Italy
2025 Rosato, Antonio; El Youssef, Mohammad; Mercuri, Rita; Hooman, Armin; Piscitelli, Marco Savino; Capozzoli, Alfonso
BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs
2025 Perini, Marco; Antonucci, Daniele; Giudice, Rocco; Piscitelli, Marco Savino; Capozzoli, Alfonso
Is it returning too hot? Time series segmentation and feature clustering of end-user substation faults in district heating systems
2025 Leiria, Daniel; Johra, Hicham; Anoruo, Justus; Praulins, Imants; Piscitelli, Marco Savino; Capozzoli, Alfonso; Marszal-Pomianowska, Anna; Pomianowski, Michal Zbigniew
Rule extraction from deep reinforcement learning controller and comparative analysis with ASHRAE control sequences for the optimal management of Heating, Ventilation, and Air Conditioning (HVAC) systems in multizone buildings
2025 Razzano, Giuseppe; Brandi, Silvio; 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
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.
How much do carbon emission reduction strategies comply with a sustainable development of the power sector?
2024 Mosso, Daniele; Colucci, Gianvito; Lerede, Daniele; Nicoli, Matteo; Piscitelli, Marco Savino; Savoldi, Laura
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.
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.
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.
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.
Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics
2022 Pinto, Giuseppe; Messina, Riccardo; Li, Han; Hong, Tianzhen; Piscitelli, Marco Savino; Capozzoli, Alfonso
Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries
2022 Chiosa, R.; Piscitelli, M. S.; Fan, C.; Capozzoli, A.
A data analytics-based energy information system (EIS) tool to perform meter-level anomaly detection and diagnosis in buildings
2021 Chiosa, R.; Piscitelli, M. S.; Capozzoli, A.
A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings
2021 Piscitelli, M. S.; Brandi, S.; Capozzoli, A.; Xiao, F.
Coordinated energy management for a cluster of buildings through deep reinforcement learning
2021 Pinto, G.; Piscitelli, M. S.; Vazquez-Canteli, J. R.; Nagy, Z.; Capozzoli, A.
Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings
2021 Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| An interpretable data analytics-based energy benchmarking process for supporting retrofit decisions in large residential building stocks / Piscitelli, Marco Savino; Razzano, Giuseppe; Buscemi, Giacomo; Capozzoli, Alfonso. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 328:(2025). [10.1016/j.enbuild.2024.115115] | 1-gen-2025 | Piscitelli, Marco SavinoRazzano, GiuseppeBuscemi, GiacomoCapozzoli, Alfonso | paper-main.pdf |
| Assessment of Indoor Thermo-Hygrometric Conditions and Energy Demands Associated to Filters and Dampers Faults via Experimental Tests of a Typical Air-Handling Unit During Summer and Winter in Southern Italy / Rosato, Antonio; El Youssef, Mohammad; Mercuri, Rita; Hooman, Armin; Piscitelli, Marco Savino; Capozzoli, Alfonso. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 18:3(2025). [10.3390/en18030618] | 1-gen-2025 | Hooman, ArminPiscitelli, Marco SavinoCapozzoli, Alfonso + | energies-18-00618-v2.pdf |
| BrickLLM: A Python library for generating Brick-compliant RDF graphs using LLMs / Perini, Marco; Antonucci, Daniele; Giudice, Rocco; Piscitelli, Marco Savino; Capozzoli, Alfonso. - In: SOFTWAREX. - ISSN 2352-7110. - ELETTRONICO. - 30:(2025). [10.1016/j.softx.2025.102121] | 1-gen-2025 | Giudice, RoccoPiscitelli, Marco SavinoCapozzoli, Alfonso + | SoftwareX_manuscript.pdf |
| Is it returning too hot? Time series segmentation and feature clustering of end-user substation faults in district heating systems / Leiria, Daniel; Johra, Hicham; Anoruo, Justus; Praulins, Imants; Piscitelli, Marco Savino; Capozzoli, Alfonso; Marszal-Pomianowska, Anna; Pomianowski, Michal Zbigniew. - In: APPLIED ENERGY. - ISSN 0306-2619. - ELETTRONICO. - 381:(2025). [10.1016/j.apenergy.2024.125122] | 1-gen-2025 | Piscitelli, Marco SavinoCapozzoli, Alfonso + | 1-s2.0-S0306261924025066-main.pdf |
| Rule extraction from deep reinforcement learning controller and comparative analysis with ASHRAE control sequences for the optimal management of Heating, Ventilation, and Air Conditioning (HVAC) systems in multizone buildings / Razzano, Giuseppe; Brandi, Silvio; Piscitelli, Marco Savino; Capozzoli, Alfonso. - In: APPLIED ENERGY. - ISSN 0306-2619. - ELETTRONICO. - 381:(2025). [10.1016/j.apenergy.2024.125046] | 1-gen-2025 | Razzano, GiuseppeBrandi, SilvioPiscitelli, Marco SavinoCapozzoli, Alfonso | Manuscript APEN.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 |
| 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 |
| How much do carbon emission reduction strategies comply with a sustainable development of the power sector? / Mosso, Daniele; Colucci, Gianvito; Lerede, Daniele; Nicoli, Matteo; Piscitelli, Marco Savino; Savoldi, Laura. - In: ENERGY REPORTS. - ISSN 2352-4847. - ELETTRONICO. - 11:(2024), pp. 3064-3087. [10.1016/j.egyr.2024.02.056] | 1-gen-2024 | Mosso, DanieleColucci, GianvitoLerede, DanieleNicoli, MatteoPiscitelli, Marco SavinoSavoldi, Laura | 1-s2.0-S2352484724001379-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 |
| 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 |
| 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 |
| 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 |
| Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics / Pinto, Giuseppe; Messina, Riccardo; Li, Han; Hong, Tianzhen; Piscitelli, Marco Savino; Capozzoli, Alfonso. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 276:(2022), p. 112530. [10.1016/j.enbuild.2022.112530] | 1-gen-2022 | Pinto, GiuseppeMessina, RiccardoPiscitelli, Marco SavinoCapozzoli, Alfonso + | Sharing is caring.pdf; Postprint author - Sharing is caring.pdf |
| Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries / Chiosa, R.; Piscitelli, M. S.; Fan, C.; Capozzoli, A.. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - 270:(2022), p. 112302. [10.1016/j.enbuild.2022.112302] | 1-gen-2022 | Chiosa R.Piscitelli M. S.Capozzoli A. + | manuscript post-print.pdf; 1-s2.0-S037877882200473X-main.pdf |
| A data analytics-based energy information system (EIS) tool to perform meter-level anomaly detection and diagnosis in buildings / Chiosa, R.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 14:1(2021), p. 237. [10.3390/en14010237] | 1-gen-2021 | Chiosa R.Piscitelli M. S.Capozzoli A. | energies-14-00237-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. - (2021). [10.1007/s12273-020-0650-1] | 1-gen-2021 | Piscitelli M. S.Brandi S.Capozzoli A. + | Piscitelli 2020.pdf; A data analytics based tool.pdf |
| Coordinated energy management for a cluster of buildings through deep reinforcement learning / Pinto, G.; Piscitelli, M. S.; Vazquez-Canteli, J. R.; Nagy, Z.; Capozzoli, A.. - In: ENERGY. - ISSN 0360-5442. - ELETTRONICO. - 229:(2021), p. 120725. [10.1016/j.energy.2021.120725] | 1-gen-2021 | Pinto G.Piscitelli M. S.Capozzoli A. + | 1-s2.0-S0360544221009737-main(1).pdf; Accepted_manuscript_Energy_2021.pdf |
| 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 |