EnergyEmissionsRegio: Spatial disaggregation of final energy consumption and emissions data from NUTS0 to LAU level.

A workflow tool that:

1. Use spatial proxies from various databases, by imputing missing values if any.
2. Disaggregates the energy consumption and emissions from differnt sectors based on proxy specifications.
3. Evaulates confidence level of the disaggregated values

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Installation steps

0. Before you begin:

Please make sure you have mamba installed in your base environment bash conda install mamba -c conda-forge

1. Clone this repository:

   git clone https://github.com/FZJ-IEK3-VSA/EnergyEmissionsRegio.git

2. Install dependencies and the repo in a clean conda environment:

   cd EnergyEmissionsRegio
   mamba env create -n eeregio --file=requirements.yml
   conda activate eeregio
   pip install -e .

The experiments can be found under the experiments folder.