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.
How does climate change impact a renewable energy system?
How can we reliably predict time series in complex systems under uncertainty?
How can we include statistical information such as seasonality, trends or concept drifts into DNNs to improve forecasting?
How can we recognise, promote and use flexibility on the demand side?