pypsa-eur/doc/configtables/load.csv

1		Unit	Values	Description
2	interpolate_limit	hours	integer	Maximum gap size (consecutive nans) which interpolated linearly.
3	time_shift_for_large_gaps	string	string	Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid ``pandas`` period strings.
4	manual_adjustments	bool	{true, false}	Whether to adjust the load data manually according to the function in :func:`manual_adjustment`.
5	scaling_factor	--	float	Global correction factor for the load time series.
6	fixed_year	--	Year or False	To specify a fixed year for the load time series that deviates from the snapshots' year
7	supplement_missing_data_artificially	bool	{true, false}	Whether to supplement missing data for selected time period should be supplemented by artificial data from https://zenodo.org/record/7070438/files/demand_hourly.csv.