Deep anomaly detection in horizontal axis wind turbines using graph convolutional autoencoders for multivariate time series ES Miele, F Bonacina, A Corsini Energy and AI 8, 100145, 2022 | 59 | 2022 |
Industrial energy management systems in Italy: State of the art and perspective F Bonacina, A Corsini, L De Propris, A Marchegiani, F Mori Energy Procedia 82, 562-569, 2015 | 32 | 2015 |
Time series clustering: A complex network-based approach for feature selection in multi-sensor data F Bonacina, ES Miele, A Corsini Modelling 1 (1), 1-21, 2020 | 17 | 2020 |
Complex network analysis of photovoltaic plant operations and failure modes F Bonacina, A Corsini, L Cardillo, F Lucchetta Energies 12 (10), 1995, 2019 | 13 | 2019 |
Multivariate KPI for energy management of cooling system in food industry A Corsini, F Bonacina, S Feudo, F Lucchetta, A Marchegiani Energy Procedia 101, 297-304, 2016 | 11 | 2016 |
Multivariate key performance indicator of baking process A Corsini, F Bonacina, L De Propris, S Feudo, A Marchegiani Energy Procedia 82, 554-561, 2015 | 7 | 2015 |
Internal Combustion Engine sensor network analysis using graph modeling A Corsini, F Bonacina, S Feudo, A Marchegiani, P Venturini Energy Procedia 126, 907-914, 2017 | 6 | 2017 |
Deep anomaly detection in horizontal axis wind turbines using Graph Convolutional Autoencoders for Multivariate Time series, Energy and AI, 8, 100145 ES Miele, F Bonacina, A Corsini | 5 | 2022 |
Condition-Based Maintenance of Gensets in District Heating Using Unsupervised Normal Behavior Models Applied on SCADA Data VF Barnabei, F Bonacina, A Corsini, FA Tucci, R Santilli Energies 16 (9), 3719, 2023 | 3 | 2023 |
On the use of artificial intelligence for condition monitoring in horizontal-axis wind turbines F Bonacina, ES Miele, A Corsini IOP Conference Series: Earth and Environmental Science 1073 (1), 012005, 2022 | 3 | 2022 |
An application of data-driven analysis in road tunnels monitoring R Coccia, A Corsini, F Bonacina, L RICCIARDI CELSI, NM Pellicanò, ... PROCEEDINGS INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND …, 2021 | 3 | 2021 |
A Systematic Study on the Use of Machine Learnt Feature Derivation in Horizontal Axis Wind Turbine Fleets V Barnabei, E Morvillo, A Corsini, F Bonacina Offshore Mediterranean Conference and Exhibition, OMC-2023-428, 2023 | 1 | 2023 |
Unsupervised Feature Selection of Multi-Sensor SCADA Data in Horizontal Axis Wind Turbine Condition Monitoring ES Miele, F Bonacina, A Corsini, A Peruch, M Cannarozzo, D Baldan, ... Turbo Expo: Power for Land, Sea, and Air 86137, V011T38A015, 2022 | 1 | 2022 |
Energy profiling of end-users in service and industry sectors with use of Complex Network Analysis R Portera, F Bonacina, A Corsini, ES Miele, L Ricciardi Celsi Volume 312 (2021) 312, 1-16, 2021 | 1 | 2021 |
Energy rating of a water pumping station using multivariate analysis S Feudo, A Corsini, F Bonacina, E Tortora, E Cima Energy Procedia 126, 385-391, 2017 | 1 | 2017 |
Diagnosi energetiche in conformità al D. Lgs. 102/14 F BONACINA, F POTENZA Reloader Magazine 91, 9-12, 2015 | | 2015 |