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 Scientist, 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