About us

Note that pyWATTS is no longer actively maintained

History

This project was started in 2019 by the Research Group “Machine Learning for Time Series and Images” of the Institute for Automation and Applied Informatics at the Karlsruhe Institute of Technology.

pyWATTS is no longer actively maintained, however the main graph pipeline functionality of pyWATTS has been integrated into the open source python package [sktime](https://www.sktime.net/en/stable/). For more information on the history of pyWATTS you can visit [the IAI homepage](https://www.iai.kit.edu/english/1266_4162.php).

Contributors

The following people actively contributed to pyWATTS during its development and use:

• Benedikt Heidrich

• Andreas Bartschat

• Marian Turowski

• Oliver Neumann

• Kaleb Phipps

• Stefan Meisenbacher

• Nicole Ludwig

Citing pyWATTS

If you use this framework in a scientific publication please cite the corresponding paper:

Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer. “pyWATTS: Python Workflow Automation Tool for Time Series.” (2021).). arXiv:2106.10157. http://arxiv.org/abs/2106.10157

Funding

This project is supported by the Helmholtz Association under the Program “Energy System Design”, by the Helmholtz Association’s Initiative and Networking Fund through Helmholtz AI, by the Helmholtz Association under the Joint Initiative “Energy System 2050 - A Contribution of the Research Field Energy”, and by the German Research Foundation (DFG) Research Training Group 2153 “Energy Status Data: Informatics Methods for its Collection, Analysis and Exploitation”.