Output uncertainty quantification metrics - Githubissues

NREL / buildstock-query

BuildStockQuery is a python library for querying datasets generated by ResStock™ and ComStock™.

https://nrel.github.io/buildstock-query/

BSD 3-Clause "New" or "Revised" License

7 stars 1 forks source link

Output uncertainty quantification metrics #3

Open afontani opened 1 year ago

afontani commented 1 year ago

Enhancement Request

Some uncertainty quantification metrics to queries or be able to ask for them.

Detailed Description

When making a call to the annual or timeseries query allow for uncertainty quantification metrics to be queried. Examples are:

the percentiles for a box plot
95% Confidence interval
Standard deviation/variance

This might result in a lot of extra columns and therefore a lot of data being returned, especially for a lot of end-uses requested.

This could be a separate query that could be performed after the average/total aggregation.

Possible Implementation

None.