CHIOSA, ROBERTO

CHIOSA, ROBERTO  

Dipartimento Energia  

050594  

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Risultati 1 - 6 di 6 (tempo di esecuzione: 0.007 secondi).
Citazione Data di pubblicazione Autori File
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.pdfNavarro_et_al2023_Manuscript_CLEAN_REVISION_18032024.docx
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.pdfA_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. + -
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.pdf1-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