Comments (4)
This may be the source of spikiness in the output data (below), so may be a priority for V1.
Blue is our result, red is the raw 930 profile (after timestamp adjustment). Both show total generation in PJM. The spikes in the blue profile are due to spikes in CEMS data.
from open-grid-emissions.
Can you provide a little more context of what the above graph is showing?
from open-grid-emissions.
Added above.
Two possible approaches:
- Use some multiple of the IQR to filter spikes (following http://www.nature.com/articles/s41597-020-0483-x)
- Filter values above plant capacity
from open-grid-emissions.
This paper includes some possible approaches to identifying outlier data: https://pubs.acs.org/doi/10.1021/acs.est.9b04522
https://github.com/NREL/NaTGenPD
from open-grid-emissions.
Related Issues (20)
- Analyze and report differential between OGE versions
- CEMS data cleaning is dropping some CEMS data HOT 2
- Validate primary fuel methodology that should be used for assigning a plant's fuel category HOT 1
- Add option to use pudl nightly builds HOT 2
- Fix / clean up EIA-930 timestamp corrections
- Add validation for physical BA code ID
- Add typehints to all functions
- Add total consumed emissions to carbon accounting results
- Add emission factors for Canada
- Make output tables more user friendly
- Update PUDL Dependencies HOT 1
- Add PR template to OGE
- Fix EIA-923 Allocation Error
- Address inconsistent columns warning in `gridemissions`
- Fix incomplete timeseries warnings
- Add section on forks in the README for external collaborators
- Fix pipeline when running with --small argument HOT 1
- Add fuel-specific EIA-923 allocation warning
- Ensure complete timeseries data
- Update dependency on gridemissions repo to use v2 of EIA API
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