If we want to use the same dataset to extract out different sector demands (ie. heating, cooling, electrical), the current logic requires reading in and formatting the dataset for each sector (ie. we read and process the dataset 3 times to get the 3 different sectors). We should update logic to reuse the same dataset.
Suggested Solution
Within the Context class, we can add a new function, similar to prepare_demand(...) that will use the read in data. Maybe this function returns a dictionary of dataframes, where the key is the sector
Feature Request
If we want to use the same dataset to extract out different sector demands (ie. heating, cooling, electrical), the current logic requires reading in and formatting the dataset for each sector (ie. we read and process the dataset 3 times to get the 3 different sectors). We should update logic to reuse the same dataset.
Suggested Solution
Within the
Contextclass, we can add a new function, similar toprepare_demand(...)that will use the read in data. Maybe this function returns a dictionary of dataframes, where the key is the sectorhttps://github.com/PyPSA/pypsa-usa/blob/504208a89d31cfa144b6d30c6b0b72917de6c41f/workflow/scripts/build_demand.py#L107-L112
Additional Info
No response