Forecasting: deep learning meets secure data sharing

When: Thursday, 23 April 2026, 13:30 - 14:15
Where: N107, N108

Session chair

Gregor Giebel

Head of Centre, DTU

Ana Maria Palomares

Senior Scientist, CIEMAT

Presentations

A Unified Multi-Horizon Forecasting Framework for Wind Power Using AI

Rubén Martínez

Data sientist at Instituto de Ingeniería del Conocimiento (IIC)., Instituto de Ingeniería del Conocimiento (IIC)

Combining Deep Learning, PCA and Gradient Boosting for Short-Term Wind Energy Forecasting

Ignacio Villanueva

CEO and Full Professor in Mathematics, Ravenwits

Privacy-preserving data sharing for collaborative spatio-temporal wind power forecasting

Georges Kariniotakis

Professor, Head of Renewable Energies & SmartGrids Group, Centre PERSEE, Mines Paris - PSL