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Transform FERC-714 load forecast table #3519
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I'd like to take this one! @catalyst-cooperative/com-dev |
Okay @seeess1 I've assigned it to you. Let us know if anything gets weird in there or doesn't make sense! We usually like to make draft PRs early so others can see how changes are evolving and offer help if something seems to be going in an unexpected direction. |
The best place to look for an analogous integration of a FERC-714 asset is probably |
@zaneselvans any recommendations on the desired output format that we want for the yearly demand forecast data? Right now I'm just removing some footnote columns, renaming columns, and dropping bad respondents (using the same method utilized by the hourly demand transformation logic). So at the moment the output data just looks like:
Do we want a different format besides this? |
That seems like a natural structure, with a PK of Looking at
|
The FERC-714 instructions also provide some context for the meaning of the table & columns, which will be useful for populating their descriptions. |
Ohh! Thank you! Will make these updates and start working on updating the documentation for the new asset. |
Transform the existing FERC-714 raw planning area demand forecast table into a new core asset.
With the development environment set up and the
raw_ferc714
asset group materialized, you should be able to access the raw data in a notebook with:Other relevant tables:
core_ferc714__respondent_id
out_ferc714__summarized_demand
The PUDL Data Dictionary contains table and column level documentation.
Why would this be useful?
This table contains the data necessary to reproduce and automate the kind of load growth forecast analysis that RMI highlighted in this 2017 post which would be especially useful in the context of casting doubt on these wild load growth forecasts that many utilities are using to justify building tons of new gas capacity. Yes, utilities are forecasting high load growth. But they're always forecasting high load growth. And they are systematically biased toward predicting load growth that is much higher than actually materializes.
After this is done...
Once the old 2006-2020 DBF/CSV derived data for this table has been integrated, then we can look at potentially pulling in the 2021 and later XBRL data for FERC-714 to extend the timeseries to the present.
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