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
Florian Ebmeier
PhD Student
Kibidi Neocosmos
PhD Student
Kornelius Raeth
PhD Student
Luca Schmidt
PhD Student
Nina Effenberger
PhD Student
Mara Seyfert
Research Fellow
Sofia Morelli
Msc Student
Caroline Grießhuber
MSc Student
Samuel Wörz
MSc Student
Tian Jin
MSc Student
Tim Weisbarth
MSc Student
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.
Research Areas
Climate Change Impacts on Energy Systems
How does climate change impact a renewable energy system?
Probabilistic Forecasting
How can we reliably predict time series in complex systems under uncertainty?
Statistical, Physical Information and Modularity
How can we include statistical information such as seasonality, trends or concept drifts into DNNs to improve forecasting?
Demand Side Flexibility & Markets
How can we recognise, promote and use flexibility on the demand side?
Teaching
If you want to write your thesis or research project within the group, please write an e-mail to Thesis/ Projects MLSES, stating which topics you are interested in and what your ideal starting date is (any E-Mails not going to the specified address will not be responded to). We currently have some limited capacity for thesis and research projects during the winter term.
Recent Publications
Where to find us
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Maria-von-Linden Str 6
72076 Tübingen
