Machine learning for meteorological time series
Description
We are investigating machine learning methods for time series analysis in the contexts of:
Meteorology
wave height forecasting
wind and rainfall nowcasting from underwater measurements
Finance
Risk assessment of defaulting
Target price forecasting for energy markets
Collaboration with
Andrea Mazzino UniGe
Giovanni Besio UniGe
Andrea Trucco UniGe
Annalisa Barla UniGe