Analysis Pipeline #116
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Analysis Pipeline #116
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…of poa and clearsky poa for rescaling
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@araval Thanks for the PR! We're also working on some code to streamline the workflow. I'll push that and issue a PR by the end of the week. Then let's all plan to compare notes and figure out how to best put all the pieces together in a consistent way. |
cwhanse
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Jun 25, 2019
analysis_pipeline.py
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| - tilt (degrees) | ||
| - azimuth (degrees) | ||
| - pdc (DC capacity in Watts) | ||
| - tempco (temperature coefficient) |
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I would suggest gamma_pmp as the keyword
added 5 commits
June 25, 2019 12:46
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This content is being handled by #117 now. |
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This simplifies the example notebook with the help "analysis_pipeline.py". We would like to calculate degradation for a large number of systems in our database, so having a pipeline is more efficient. With the help of this script, we now input system metadata and energy or power time-series and we get degradation values along with confidence intervals as output.
See for example
docs/pipeline example.ipynb.