Differences in aggregate and individual DSM time series

[khelfen]

Currently, there are differences in the aggregated and individual DSM time series. These are caused by the truncation of the values at zero.

eGon-data/src/egon/data/datasets/DSM_cts_ind.py

Lines 529 to 537 in 80489d5

	for index, liste in scheduled_load.items():
	lamb = lam.loc[index]
	p_max.loc[index] = [max(0, lamb * s_inc - item) for item in liste]
	# P_min
	p_min = scheduled_load.copy()
	for index, liste in scheduled_load.items():
	lamb = lam.loc[index]
	p_min.loc[index] = [min(0, -(item - lamb * s_dec)) for item in liste]

The sum of the individual time series is a more accurate value than the aggregated time series used so far and should replace it in the future. Since the deviations are relatively small, a tolerance is currently accepted in the sanity checks.

eGon-data/src/egon/data/datasets/sanity_checks.py

Line 1493 in 80489d5

atol = 1e-01