OpenSTEF 4.0.0 documentation

OpenSTEF is a library for creating short term forecasts for the energy sector. It contains all components for the machine learning pipeline required to make a forecast.

Install

pip

pip install openstef

uv

uv add openstef

conda

conda install -c conda-forge openstef

pixi

pixi add openstef

other

Installation

For more detailed instructions, see the installation guide.

Learn

How to use OpenSTEF?

• Installation

• Forecasting Quickstart

• Forecasting

• Examples

What can OpenSTEF do?

• Intro to Energy Forecasting

• Models

• Probabilistic Forecasting

• BEAM

• Component Splitting

Reference

• API reference

• Concepts

OpenSTEF packages:

• openstef-models forecasting models and feature engineering

• openstef-beam backtesting, evaluation, analysis and metrics

• openstef-core utilities, dataset types, shared types

• openstef-meta metalearning and model selection

What’s new

Learn about new features and API changes.

• Release notes on GitHub

Contribute

OpenSTEF is an LF Energy community maintained for and by its users. See Contribute for the many ways you can help!

• GitHub issue tracker

• Contributing guide

• Development workflow

• Policies and guidelines

About OpenSTEF

Here you can find all information about the OpenSTEF community.

• Linux Foundation project page

• Video About OpenSTEF

• Technical Steering Committee

• Maintainers

• Citing OpenSTEF

• License