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* When you want to have a higher nodal resolution of one of these four countries, maybe some adjustments must be made
* When you want to have a higher nodal resolution of one of these four countries, maybe some adjustments must be made
## Custom Clustering
## Custom Clustering
This chapter was written and tested for the commit 03221fe539bf9f24806a96c0939aa34b05e5f4cc (21.10.2020) on the [custom_busmap_for_clustering](https://github.com/PyPSA/pypsa-eur/tree/custom_busmap_for_clustering) branch of the [PyPSA-eur repository](https://github.com/PyPSA/pypsa-eur).
This chapter was written and tested for the commit cfb979a0d0f037a24b9d916b726805108386049b (03.12.2020) on the master branch of the [PyPSA-eur repository](https://github.com/PyPSA/pypsa-eur).
It currently is still an [issue](https://github.com/PyPSA/pypsa-eur/issues/124) there.
It was an [issue](https://github.com/PyPSA/pypsa-eur/issues/124) there. The functionality has been last checked on 12.02.2021 on the PyPSA-eur master branch (commit df2425d4a04648e948d8291421cab7d2ca36529f, 14.01.2021).
**The goal***
**The goal***
The goal was to define a model with higher resolution for Germany ([nuts2](https://ec.europa.eu/eurostat/de/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts)) and limit modelling of neighbouring countries to a minimum. While the current solution is specific to Germany, it can easily be adapted to other countries.
The goal was to define a model with higher resolution for Germany ([nuts2](https://ec.europa.eu/eurostat/de/web/gisco/geodata/reference-data/administrative-units-statistical-units/nuts)) and limit modelling of neighbouring countries to a minimum. While the current solution is specific to Germany, it can easily be adapted to other countries.
