Sfoglia per Relatore
Effective forecast in hydroelectric energy production by means of artificial neural networks
2018/2019 ZIMBARDO, ANDREA
Enhanced Convolutional Neural Network for solar radiation nowcasting : all-sky camera infrared images embedded with exogenous parameters
2021/2022 Cusa, Paolo
Enhanced day-ahead PV power forecast : an effective combination between ANN and different clustering methods
2019/2020 Matteri, Andrea
Enhanced day-ahead PV power forecast by probabilistic ANN ensemble method and optimization of PV power plant in the UVAM scenario : a real case study
2018/2019 PRETTO, SILVIA
Finding the right data qualities and clustering indicators for time series aggregation in energy system models with high shares of renewables
2019/2020 FIROUZI, MOHAMMADAMIN
Machine learning algorithms for effective partial discharge UHF pulse classification and filtering
2021/2022 SAKWA, MACIEJ
Machine Learning methods for clustering and day-ahead load forecast of thermal power plants
2021/2022 SCORSOLINI, RICCARDO
Machine learning techniques for solar irradiation nowcasting : cloud type classification forecast through satellite data and imagery
2019/2020 Perego, Giovanni
Modern approaches based on machine learning techniques for day-ahead electric vehicles power forecast
2021/2022 Matrone, Silvana
Techno-economic analysis of a renewable energy community in an european metropolis context : the city of Milano
2021/2022 Magenta, Giovanni
Unsupervised clustering for the optimal battery sizing with different load and PV scenarios
2020/2021 De Ciechi, Luca
Very short-term forecast : different classification methods of the whole-sky-camera images for sudden PV power variations detection
2019/2020 Vanetti, Valentina
Wind power 24h ahead forecast. Predictive models analysis and comparison
2019/2020 Giglio, Alessandro
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