**7. Conclusions**

Different new functions for a grid state forecast were presented in this contribution. Some additional functionalities can improve the runtime of the software, some functionalities can improve the forecast quality:


distribution can be useful for predicting the loads of electric vehicles, if the owner shows recurring charging patterns.


In the future, the grid state forecast can be improved by even more functionalities. According to the modular bottom-up approach, new models can be integrated easily.

**Author Contributions:** Conceptualization, J.H.; methodology, J.H., M.M., K.K. (Kamil Korotkiewicz), F.P; software, J.H.; validation, J.H.; writing—original draft preparation, J.H.; writing—review and editing, M.M., K.K. (Kamil Korotkiewicz), F.P., K.K. (Kevin Kotthaus), S.P., M.Z. All authors have read and agreed to the published version of the manuscript.

**Funding:** The research for this paper was sponsored by the German Federal Ministry for Economic A ffairs and Energy—Project Flex2Market (03ET4043A)—The authors take responsibility for the published results.

**Conflicts of Interest:** The authors declare no conflict of interest.
