Concepts

Understand the domain and library architecture behind OpenSTEF.

Intro to Energy Forecasting

How short-term energy forecasting works and why it matters for grid operations.

Intro to Energy Forecasting

Models

The machine learning models available in OpenSTEF and when to use each.

Models

Metalearning

Automatic model selection and hyperparameter optimization across targets.

Metalearning

BEAM

Backtesting, Evaluation, Analysis, and Metrics — the BEAM framework.

BEAM

Component Splitting

Decompose aggregated load into individual energy components.

Component Splitting

Foundation Models

Zero-shot pretrained forecasting on an ONNX runtime, no per-target training.

Foundation Models