Archivio Istituzionale della RicercaPISCITELLI, MARCO SAVINO
PISCITELLI, MARCO SAVINO
Dipartimento Energia
038021
A holistic time series-based energy benchmarking framework for applications in large stocks of buildings
2024 Piscitelli, Marco Savino; Giudice, Rocco; 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.
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.
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.
Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules
2020 Piscitelli, M. S.; Mazzarelli, D. 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.
Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates
2019 Attanasio, Antonio; Piscitelli, Marco; Chiusano, Silvia; Capozzoli, Alfonso; Cerquitelli, Tania
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
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules / Piscitelli, M. S.; Mazzarelli, D. M.; Capozzoli, A.. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - STAMPA. - 226:(2020), p. 110369. [10.1016/j.enbuild.2020.110369] | 1-gen-2020 | Piscitelli M. S.Capozzoli A. + | Manuscript_final_without changes marked (post print).pdf; 1-s2.0-S0378778819334619-main.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 |
| Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates / Attanasio, Antonio; Piscitelli, Marco; Chiusano, Silvia; Capozzoli, Alfonso; Cerquitelli, Tania. - In: ENERGIES. - ISSN 1996-1073. - STAMPA. - 12:7(2019), pp. 1273-1297. [10.3390/en12071273] | 1-gen-2019 | Attanasio, AntonioPiscitelli, MarcoChiusano, SilviaCapozzoli, AlfonsoCerquitelli, Tania | energies-2019.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 | - |