In versioned DP dataset v.0.2.10 peak loads in load areas and LV grid districts deviate quite heavily.
Cumulative deviation in kW:
diff_residential 92549.608809
diff_retail 276115.733138
diff_industrial -77962.741536
diff_agricultural 338403.227488
Model draft data of v0.3.0 shows smaller cumulative deviation
diff_residential 1.226731
diff_retail -1.759502
diff_industrial -5.175576
diff_agricultural 51.138129
But maximum deviation for agricultural and residential sector is large to be acceptable
Maximum deviation 'model_draft' in kW:
diff_residential 5.920596e+00
diff_retail 1.110223e-10
diff_industrial 5.551115e-11
diff_agricultural 5.408894e+01
Fix this in ego_dp_lv_consumption_peakload.sql
In addition, Ding0 does not consider load areas with a peak load smaller than 1 kW.
This raises two issues
- Data is inconsistent to LV grid district peak loads
- Data of of EHV/HV is inconsistent with MV/LV peak load data
"1." Could be solved in Ding0, but does not solve "2.". I don't have a proposal how to resolve this. Any ideas @ulfmueller @IlkaCu or @lukasol ? From my perspective its not an urgent issue, but it should be resolved at some point...
In versioned DP dataset v.0.2.10 peak loads in load areas and LV grid districts deviate quite heavily.
Cumulative deviation in kW:
Model draft data of v0.3.0 shows smaller cumulative deviation
But maximum deviation for agricultural and residential sector is large to be acceptable
Maximum deviation 'model_draft' in kW:
Fix this in ego_dp_lv_consumption_peakload.sql
In addition, Ding0 does not consider load areas with a peak load smaller than 1 kW.
This raises two issues
"1." Could be solved in Ding0, but does not solve "2.". I don't have a proposal how to resolve this. Any ideas @ulfmueller @IlkaCu or @lukasol ? From my perspective its not an urgent issue, but it should be resolved at some point...