In this Pull Request the code of the ramp_build_demand_profile rule (and the files linked to it) is modified, to obtain for each building type:
A DataFrame with demand data ( specified on an hourly basis) for the 365 days of the year
A second DataFrame with:
An average hourly profile, calculated over the 365 values for each hour.
A standard deviation associated with the average demand for each hour.
I tested the file locally and it works correctly.
For it to work, it is necessary to create a data/ramp folder with representative xlsx files of the buildings inside as required by ramp.
( I have already generated basic files in my local version, to be evaluated whether to make the subfolder visible in gitingore)
In this Pull Request the code of the ramp_build_demand_profile rule (and the files linked to it) is modified, to obtain for each building type:
A DataFrame with demand data ( specified on an hourly basis) for the 365 days of the year A second DataFrame with:
I tested the file locally and it works correctly. For it to work, it is necessary to create a data/ramp folder with representative xlsx files of the buildings inside as required by ramp. ( I have already generated basic files in my local version, to be evaluated whether to make the subfolder visible in gitingore)