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Join this session to get hands-on experience with energy forecasting and learn how easy it is to get started with openSTEF's latest release: 4.0. We will use pre built notebooks to look into training, forecasting and benchmarking (bring your own laptop with Python installed). We will explore the various model types that openSTEF has to offer, and we will understand how you can add your own model to the mix.
We will use the Liander 2024 open source data set so everyone can get started, but you are also welcome to bring your own energy data you would like to forecast.
Wether you're just starting out with energy forecasting, or whether you are already experienced with forecasting (potentially through using openSTEF 3) and want to see what's new in 4.0 this session is for you!
I work at Alliander to forecast the energy load for many points in our grid. We do so using openSTEF, for which I chair the Technical Steering Committee .
Wednesday September 16, 2026 15:20 - 17:00 CEST Back Stage
