Abnormal variations in total costs due to an OPEX that varies with different number of clusters. The change in OPEX is driven by a change in PV production ;
e.g. whether we use 10 or 12 clusters the TOTEX is nearly divided by 3 which is HUGE! (see graphs below)
I assume there is a problem with the clustering of the irradiation (?) -> has anyone encountered this problem before and managed to fix it ?
Please understand the graphs as follows :
I ran the 3a_Read_csv.py file in scripts/examples with the first ten buildings from buildings.csv (I did it using from 2 to 16 clusters)
One graph shows the variation in the PV production with different number of clusters
The other graph shows the variation in the costs (TOTEX, CAPEX, OPEX) with different number of clusters
Is there an existing issue for this?
What happened?
Abnormal variations in total costs due to an OPEX that varies with different number of clusters. The change in OPEX is driven by a change in PV production ;
e.g. whether we use 10 or 12 clusters the TOTEX is nearly divided by 3 which is HUGE! (see graphs below)
I assume there is a problem with the clustering of the irradiation (?) -> has anyone encountered this problem before and managed to fix it ?
Please understand the graphs as follows :
Version
1.0.3 (Latest)
Relevant log output
No response
Anything else?
No response