Load and generation time series for German federal states: Static vs. dynamic regionalization factors (data)

This dataset contains regionalization factors for electricity generation and demand time series for Germany for the year 2021. The factors can be used to distribute national generation and demand time series available from ENTSO-E to federal state level. A description of the underlying methods will be published in a forthcoming article (under review). <strong>"static_regionalization_factors.[csv, xlsx]"</strong> Each column corresponds to one factor per federal state and per production type or demand. Regionalization factors are based on share of generation capacity in each state (generation) or population and GDP (demand). <strong>"dynamic_regionalization_factors.[csv, xlsx]"</strong> Each column corresponds to one factor per federal state and per production type or demand. Each row corresponds to one hour of the year 2021. Regionalization factors are based on a combination of per unit generation data and share of generation capacity in each state, simulated renewable generation data based on spatio-temporal weather data and distribution of wind and solar generation capacities, and a regionalized load dataset for 2015 [1]. [1] Matthias Kühnbach, Anke Bekk, and Anke Weidlich. Prepared for regional self-supply? On the regional fit of electricity demand and supply in Germany. Energy Strategy Reviews, 34:100609, 20