added upscale_droop folder #21
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phoebeheywood
approved these changes
Dec 13, 2022
| "AS4777.2:2015", Standard_Version)) | ||
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| # write in 2020 standard into the droop compliance column if standard is 2020 | ||
| UD <- mutate(UD, compliance_status = ifelse(Standard_Version == "AS4777.2:2020", compliance_status_2020, compliance_status)) |
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Would be better to do this before filtering "bad data"
| ######################## Get proportion (by count) of each droop response per standard and OEM ############################### | ||
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| Proportions <- group_by(UD, Standard_Version, c_id, compliance_status, manufacturer) %>% summarise() | ||
| Proportions <- mutate(Proportions, StdComplianceCombined = paste(Standard_Version, compliance_status)) |
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This column already exists in UD so can just be added as a grouping column above
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| pivot_upscaled_MW_profile <- pivot_wider(select(upscale_MW_profile, c("ts","StdComplianceCombined", "upscale_MW")), names_from = StdComplianceCombined, | ||
| values_from =upscale_MW) | ||
| write.csv(pivot_upscaled_MW_profile, paste(output_directory,"droop_compliance_upscale_by_OEM_site_normalisation.csv",sep=""), row.names = FALSE) |
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Might be nice to have the filename defined at the top so if you're doing multiple runs it's easier to rename it
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added upscale droop scripts which take in CER data and underlying data to upscaled droop response curves.
It outputs a timeseries CSV where each column corresponds to the upscaled MW response for each droop response category per Standard