Open trevorb1 opened 2 months ago
Data for this is based on Amy2018, note ERA5
Once this is done, dont forget to remove this code block from build_demand.py
##################################################################
## REMOVE THIS ONCE 2018 CUTOUTS ARE CREATED
##################################################################
df = df.reset_index()
df["snapshot"] = df.snapshot.map(lambda x: x.replace(year=2019))
df = df.set_index(["snapshot", "sector", "subsector", "fuel"])
##################################################################
## REMOVE THIS ONCE 2018 CUTOUTS ARE CREATED
##################################################################
Feature Request
For residential and commercial demand profiles, they are based on a 2018 weather year.
Suggested Solution
We should add cutouts to the zenodo deposit for 2018 weather year.
Additional Info
No response