A review of data-driven fault detection and diagnostics for building HVAC systems Z Chen, Z O’Neill, J Wen, O Pradhan, T Yang, X Lu, G Lin, S Miyata, S Lee, ... Applied Energy 339, 121030, 2023 | 62 | 2023 |
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context C Fan, Y Lei, Y Sun, MS Piscitelli, R Chiosa, A Capozzoli Energy 240, 122775, 2022 | 38 | 2022 |
A data analytics-based energy information system (eis) tool to perform meter-level anomaly detection and diagnosis in buildings R Chiosa, MS Piscitelli, A Capozzoli Energies 14 (1), 237, 2021 | 30 | 2021 |
Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries R Chiosa, MS Piscitelli, C Fan, A Capozzoli Energy and Buildings 270, 112302, 2022 | 11 | 2022 |
Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts C Fan, Y Lin, MS Piscitelli, R Chiosa, H Wang, A Capozzoli, Y Ma Building Simulation 16 (8), 1499-1517, 2023 | 8 | 2023 |
Investigation of ground movements induced by underground gas storages via unsupervised ML methodology applied to InSAR data AMG Navarro, V Rocca, A Capozzoli, R Chiosa, F Verga Gas Science and Engineering 125, 205293, 2024 | | 2024 |
Application of data analytics processes for the detection of anomalous energy patterns in buildings S Deho Politecnico di Torino, 2021 | | 2021 |
Detection and diagnosis of anomalous energy consumption patterns in buildings through a data analytics based approach: the case of Politecnico di Torino R Chiosa Politecnico di Torino, 2020 | | 2020 |