The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
Before we can get rid of some of the metadata structures which remain in constants.py and completely move to the new Pydantic metadata system, we need to compile complete metadata for the ferc714 dataset. This will mean creating a bunch of new fields and resources in the pudl.metadata.fields and pudl.metadata.resources modules. It may be worth breaking the field definitions out into the different data groups (ferc1, eia, ferc714, epacems etc.)
Note that we are only attempting to transform and load a subset of the possible ferc714 tables at the moment, so this list is incomplete.
Before we can get rid of some of the metadata structures which remain in constants.py and completely move to the new Pydantic metadata system, we need to compile complete metadata for the
ferc714
dataset. This will mean creating a bunch of new fields and resources in thepudl.metadata.fields
andpudl.metadata.resources
modules. It may be worth breaking the field definitions out into the different data groups (ferc1, eia, ferc714, epacems etc.)Note that we are only attempting to transform and load a subset of the possible
ferc714
tables at the moment, so this list is incomplete.FERC 714 Tables
respondent_id_ferc714
demand_hourly_pa_ferc714