prepare_electricity_demand

Inputs

opsd_ts_datastr

raw opsd timeseries data including electricity load as .csv.

output_filestr

results/_resources/ts_load_electricity.csv: path of output file with prepared timeseries data as .csv.

Outputs

pandas.DataFrame

with normalized load data of 50Hertz region in Germany from the years 2015, 2016, 2017, 2018 and 2019. The data is normalized with the total electricity demand of the corresponding year.

Description

The corresponding snakemake rule of the preparation of the electricity demand profile downloads the 60 min timeseries data from OPSD and keeps it locally. The script takes this data and filters for the load data of the 50Hertz region in Germany. The load data is normalized with the total electricity demand of the corresponding year and put into the timeseries template format. The years 2015 to 2019 (including) are available. Note: the electricity demand profile for electric vehicle charging is prepared in prepare_vehicle_charging_demand.py.