Integrated Load and Infeed Forecast for the entire Value Chain in the Electric Energy Market

The energy transition requires new concepts for planning and managing the energy supply system. In order to be able to use the generated renewable energy (RE) efficiently and to reduce network congestion, the existing flexibility options must be used optimally. An overall improvement in the forecast of generation and consumption will reduce the number of system interventions and reserve power requirements, leading to better marketing strategies and reducing penalties. Therefore, this paper presents the idea of the joint project ILEP and focuses on the introduction of a new approach, a dynamic combined methodology for integrated infeed and load forecast that takes into account cross-cutting influencing factors. Results of a detailed analysis of challenges and the existing forecast processes as well as the consequential influencing factors will be presented in this paper. Furthermore, the resulting model of an integrated infeed and load forecast will be discussed in detail, distinguishing between a local and global forecast.