pudl.output.eia930¶

Functions for compiling derived aspects of the EIA 930 data.

For a narrative overview of the timeseries imputation process, see the documentation at Timeseries Imputation

Attributes¶

imputed_combined_demand_assets

Functions¶

`_add_timezone`(→ pandas.DataFrame)
`_out_eia930__hourly_operations`(→ pandas.DataFrame)	Adds timezone column and combined ID with BA/subregion used for imputation.
`_out_eia930__hourly_subregion_demand`(→ pandas.DataFrame)	Adds timezone column and combined ID with BA/subregion used for imputation.
`_years_from_context`(→ list[int])
`_out_eia930__combined_demand`(→ pandas.DataFrame)	Combine subregion and BA demand into a single DataFrame to perform imputation.
`split_ba_subregion_demand`(...)	Split combined imputed demand into separate BA/subregion tables.
`out_eia930__hourly_aggregated_demand`(→ pandas.DataFrame)	Aggregate imputed demand from the BA level to region, interconnect, and contiguous US.

Module Contents¶

pudl.output.eia930._add_timezone(df: pandas.DataFrame, core_eia__codes_balancing_authorities: pandas.DataFrame) → pandas.DataFrame[source]¶

pudl.output.eia930._out_eia930__hourly_operations(core_eia930__hourly_operations: pandas.DataFrame, core_eia__codes_balancing_authorities: pandas.DataFrame) → pandas.DataFrame[source]¶: Adds timezone column and combined ID with BA/subregion used for imputation.

pudl.output.eia930._out_eia930__hourly_subregion_demand(core_eia930__hourly_subregion_demand: pandas.DataFrame, core_eia__codes_balancing_authorities: pandas.DataFrame) → pandas.DataFrame[source]¶: Adds timezone column and combined ID with BA/subregion used for imputation.

pudl.output.eia930._years_from_context(context) → list[int][source]¶

pudl.output.eia930._out_eia930__combined_demand(_out_eia930__hourly_operations: pandas.DataFrame, _out_eia930__hourly_subregion_demand: pandas.DataFrame) → pandas.DataFrame[source]¶: Combine subregion and BA demand into a single DataFrame to perform imputation.

pudl.output.eia930.imputed_combined_demand_assets[source]¶

pudl.output.eia930.split_ba_subregion_demand(_out_eia930__combined_imputed_demand: pandas.DataFrame, core_eia930__hourly_subregion_demand: pandas.DataFrame, core_eia930__hourly_operations: pandas.DataFrame)[source]¶: Split combined imputed demand into separate BA/subregion tables.

pudl.output.eia930.out_eia930__hourly_aggregated_demand(out_eia930__hourly_operations: pandas.DataFrame, core_eia__codes_balancing_authorities: pandas.DataFrame) → pandas.DataFrame[source]¶: Aggregate imputed demand from the BA level to region, interconnect, and contiguous US.