This repository contains a collection of Jupyter notebooks as a supporting material to the lecture Grid integration of stationary energy storage (Netzintegration stationärer Energiespeicher) at TUM.
Install conda: https://docs.conda.io/en/latest/miniconda.html
Create the environment from the dependency file.
conda env create --file environment.yml
Activate the conda environment.
conda activate nse-nb
Start the Jupyter-lab session.
jupyter lab
During the course, some new packages might be added or removed from the environment. To update to the latest environment version use the following command:
conda env update --name nse-nb --file environment.yml --prune