Sfoglia per Correlatore NESPOLI, ALFREDO
Mostrati risultati da 1 a 11 di 11
A novel procedure for a typical meteorological year composition with improved resolution adopted in the PV power forecast
2018/2019 STERLE, PAOLO
Building electric load 24 h forecasting with empirical mode decomposition and long short-term memory machine learning
2019/2020 WOOD, MICHAEL JAMES
Comparison of different training approaches and ensemble methods for an effective PV power output forecast by means of ANN
2017/2018 SAYIN, MERVENIL
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
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
Very short-term forecast : different classification methods of the whole-sky-camera images for sudden PV power variations detection
2019/2020 Vanetti, Valentina
Mostrati risultati da 1 a 11 di 11
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