simBEV produces several CSVs for each EV. For large numbers of EVs, e.g. 14 million as in the NEP 2021, scenario 2035 C, this amounts up to ~350 GB of data (looped timeseries make up most of the data).
It would speed up the processing if we had a postgres database (or HDF file(s)) to store all that stuff. I recommend sqlalchemy ORM.
simBEV produces several CSVs for each EV. For large numbers of EVs, e.g. 14 million as in the NEP 2021, scenario 2035 C, this amounts up to ~350 GB of data (looped timeseries make up most of the data).
It would speed up the processing if we had a postgres database (or HDF file(s)) to store all that stuff. I recommend sqlalchemy ORM.