TRR391 C02

The C02 sub-project aims at more reliable probabilistic wind and solar power forecasts to improve the security of supply from renewable energy. The impact of renewable energy forecasts on electricity prices will be analyzed, taking into account cross-country effects in interconnected and coupled electricity markets in Europe. In the long term, methods for probabilistic deep learning structures and online learning algorithms for forecasting electrical load and (battery) storage will be proposed.

Contact: Souhir Ben Amor, Sultan Mahmud Chomon, Florian Ziel

Further information can be found here