With an ongoing energy transition, the electric network is increasingly challenged. Handling congestion is a major responsibility of network operators. In recent years, market-based approaches to utilize network-supportive exibility, especially local exibility markets (LFMs), have been discussed...

Forecasting plays an essential role in energy economics. With new challenges and use cases in the energy system, forecasts have to meet more complex requirements, such as increasing temporal and spatial resolution of data. The concept of machine learning can meet these requirements by providing...