ECAS-ENBIS Course: Adaptive Machine Learning for Time Series Forecasting

6th Sep 2026

ECAS-ENBIS Course: Adaptive Machine Learning for Time Series Forecasting

The next ECAS-ENBIS half-day summer school will take place in Florence (Italy), as a pre-conference course of ENBIS-26. This short course entitled "Adaptive Machine Learning for Time Series Forecasting" will focus on adaptive machine learning tools for time series forecasting. Drawing on research developed at EDF R&D, we will cover interpretable machine learning methods, such as Generalized Additive Models (GAMs) and Kalman-filtered GAMs, designed to adapt to non-stationary contexts (e.g., data drift, structural breaks). The second part of the course explores modern approaches, including foundation models for time series and tabular data, as well as online expert aggregation methods.

This 4-hour applicative course (14:00-18:00) will include about 1 hour of hands-on practice (notebook presentation).

More information on this webpage