Intro to Energy Forecasting#
Needs revision
This page is inherited from OpenSTEF 3.0 and may still be revised. …
High level methodology OpenSTEF#
OpenSTEF automates many typical activities in machine learning. These include the combination of input data and preparation of features. Furthermore, the train and predict methodology of OpenSTEF allows for a single-shot, multi-horizon forecast. To provide a high-level overview of these functionalities, a schematic depiction is given here.
OpenSTEF provides confidence estimates of it’s forecasts. Two methods are available. The figure below explains the differences and similarities between the two methods, as well as provide recommendations on how to the confidence estimations should be used.
