Deep learning architectures applied to wind time series multi-step forecasting 

Manero Font, Jaume (Date of defense: 2020-07-14)

Forecasting is a critical task for the integration of wind-generated energy into electricity grids. Numerical weather models applied to wind prediction, work with grid sizes too large to reproduce all the local features ...