OpenSTEF

OpenSTEF (Open Short-Term Energy Forecasting) is an open source Python package that provides a comprehensive portfolio of machine learning pipelines required to create accurate short-term energy forecasts. It is collaboratively developed by a growing community of grid operators, technology vendors, researchers, and energy-sector experts, and is hosted at LF Energy. It generates probabilistic forecasts for hours to days ahead for any given energy signal, enabling grid operators, energy companies, and researchers to anticipate congestion, support grid safety analysis, and optimize flexible assets.

The latest release, OpenSTEF 4.0, introduces a fully redesigned modular architecture that broadens the range of forecasting applications and reduces implementation effort.