Machine Learning in Sustainable Energy Systems
Who we are: We’re the MLSES group within the Cluster of Excellence – Machine Learning for Science at the University of Tübingen and are interested in developing new machine learning algorithms to build and maintain a future sustainable energy system.
Team
Nicole Ludwig
Research Group Leader
Felix Strnad
PostDoc
Stefano Gallo
PostDoc
Florian Ebmeier
PhD Student
Jannik Thümmel
PhD Student
Kibidi Neocosmos
PhD Student
Kornelius Raeth
PhD Student
Luca Schmidt
PhD Student
Claire Olivic DONGMO
Research fellow
Research Areas
Latest News
- 15.03.2024: Kibidi won an Honorable Mention Award for his poster at the Machine Learning Summer School in Okinawa. Congrats Kibidi!
- 16.11.2023: Our IN-ML-OUT project can now be seen at the Stadtmuseum Tübingen. For more details, follow the link
- 10.11.2023: Nina's and Nicole's paper "Mind the (spectral) gap: How the temporal resolution of wind speed data affects multi-decadal wind power forecasts" got accepted! The paper is a result of a collaboration with Rachel White from UBC.
Teaching
If you want to write your thesis or research project within the group, please write an e-mail to Thesis/ Projects MLSES with the following information
- current transcript of records
- topics you are interested in
- your ideal starting date
Any E-Mails not going to the specified address or not containing the above information will not be responded to.
We currently have some limited capacity for master thesis projects during the winter term.
Recent Publications
Where to find us
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Maria-von-Linden Str 6
72076 Tübingen
