Welcome to epftoolbox’s documentation!

This is the documentation of the epftoolbox, the first open-access library for driving research in electricity price forecasting. Its main goal is to make available a set of tools that ensure reproducibility and establish research standards in electricity price forecasting research.

The library contrain three main components:

The library is distributed under the AGPL-3.0 License and it is built on top of scikit-learn, tensorflow, keras, hyperopt, statsmodels, numpy, and pandas.

Using the index on the navigation bar or the index below you can navigate through the different library components.