| Titolo | Pubblicato in | Anno |
|---|---|---|
| Multi-Horizon Wind Power Forecasting Using Multi-Modal Spatio-Temporal Neural Networks | ENERGIES | 2023 |
| Deep anomaly detection in horizontal axis wind turbines using Graph Convolutional Autoencoders for Multivariate Time series | ENERGY AND AI | 2022 |
| Unsupervised feature selection of multi-sensor scada data in horizontal axis wind turbine condition monitoring | Proceedings of the ASME Turbo Expo | 2022 |
| On the use of artificial Intelligence for condition monitoring in horizontal-axis wind turbines | IOP Conference series. Earth and environmental science | 2022 |
| Anomaly detection in photovoltaic production factories via monte carlo pre-processed principal component analysis | ENERGIES | 2021 |
| Energy profiling of end-users in service and industry sectors with use of Complex Network Analysis | Volume 312 (2021) | 2021 |
| Time series clustering. A complex network-based approach for feature selection in multi-sensor data | MODELLING | 2020 |
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