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Identify outlier values in reported CEMS data

Open grgmiller opened this issue 2 years ago • 4 comments

We should implement some sort of outlier detection and screening for the hourly values reported in CEMS. This outlier detection could use a combination of statistical methods and physics-based methods (e.g. gross generation should not exceed nameplate capacity).

This should probably be implemented after loading the CEMS data but before any missing data imputation steps.

grgmiller avatar Jun 07 '22 17:06 grgmiller