Dataset for "A new method for identifying weather-induced power system stress using shadow prices"

These are data accompanying "A new method for identifying weather-induced power system stress using shadow prices". They consist of

solved network files (generated with PyPSA-Eur, here v0.6.1), used for the analysis,

necessary data to reproduce the figures in the paper and supplementary material.

The optimised network files are of the form `workflow_data/results/stressful-weather/optimum/{weather_year}_181_90m_c1.25_Co2L0.0-1H.nc` (for weather_years in {1980,...,2019}). Unsolved ones can be found in `workflow_data/networks/...`.

The filenames in `plot_data/` indicate which figure the data are associated to (e.g. `plot_data/fig_1_hourly_costs.csv` contains the hourly electricity costs during the winter of all networks and is necessary for Figure 1). We also added weather data for all system-defining events (mean surface level pressure, 10m wind speed anomaly, 2m temperature anomaly) in .nc files.

Find more information about how to use these data and how they were generated in the README of the GitHub repository: https://github.com/koen-vg/stressful-weather/tree/v0.