CHIOSA, ROBERTO
CHIOSA, ROBERTO
Dipartimento Energia
050594
A Data-Driven Process for Optimal Incentive Sharing in Collective Self-Consumption Groups of Residential Users
2024 Giudice, Rocco; Piscitelli, Marco Savino; Chiosa, Roberto; 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
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
Spatio-Temporal Characterization and Short-term Prediction of Indoor Temperature in Multi-zone Buildings
2024 Piscitelli, Marco Savino; Ye, Qichao; Chiosa, Roberto; Capozzoli, Alfonso
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.
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.
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.
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.
Citazione | Data di pubblicazione | Autori | File |
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A Data-Driven Process for Optimal Incentive Sharing in Collective Self-Consumption Groups of Residential Users / Giudice, Rocco; Piscitelli, Marco Savino; Chiosa, Roberto; Capozzoli, Alfonso. - ELETTRONICO. - 553 LNCE:(2024), pp. 19-24. (Intervento presentato al convegno 9th International Building Physics Conference, IBPC 2024 tenutosi a Toronto, Canada nel 25 - 27 July, 2024) [10.1007/978-981-97-8309-0_3]. | 1-gen-2024 | Giudice, RoccoPiscitelli, Marco SavinoChiosa, RobertoCapozzoli, Alfonso | - |
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 |
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 |
Spatio-Temporal Characterization and Short-term Prediction of Indoor Temperature in Multi-zone Buildings / Piscitelli, Marco Savino; Ye, Qichao; Chiosa, Roberto; Capozzoli, Alfonso. - ELETTRONICO. - 555 LNCE:(2024), pp. 154-160. (Intervento presentato al convegno 9th International Building Physics Conference, IBPC 2024 tenutosi a Toronto, Canada nel 25 - 27 July, 2024) [10.1007/978-981-97-8317-5_24]. | 1-gen-2024 | Piscitelli, Marco SavinoChiosa, RobertoCapozzoli, Alfonso + | - |
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 |
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 |
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 |
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 |