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Description
The newly released 2026 ISP demand data has some small changes to format / naming conventions.
Changes
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New region field: CSV filenames now include a region as well as a sub-region. For example:
- 2024:
CNSW_RefYear_2023_HYDROGEN_EXPORT_POE50_PV_TOT.csv - 2026:
NSW__CNSW_RefYear_2011_STEP_CHANGE_POE10_PV_TOT.csv
- 2024:
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Scenario names: Filename mappings (between csv filenames and scenario names) has changed.
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2024:
HYDROGEN_EXPORT: Green Energy Exports STEP_CHANGE: Step Change PROGRESSIVE_CHANGE: Progressive Change
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2026:
STEP_CHANGE: Step Change PROGRESSIVE_CHANGE: Slow Growth GREEN_ENERGY_INDUSTRIES: Accelerated Transition
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Missing data: Use of NA rather than 0 for non-solar hours in
PV_TOTcsvs.
Issues and potential solutions
(for discussion)
- New region field: One solution is including an optional group for
regionin the regex filename matching should maintain backwards compatibility with the 2024 traces. I don't think it is necessary to store this extra information in the processed files, as it is redundant as far as I can tell- (An alternative is to have explicit regex pattern for different data versions - though might be good to avoid)
- Scenario names: Scenario name mappings are slightly more annoying - as there is a name clash ("PROGRESSIVE_CHANGE" maps to different scenario names across the version. In this case, having a generic map won't work - will likely (?) need to pass an year version number/flag to get the right mapping (.. and there is an argument if we are doing that for this, perhaps should do that for the regex in 1?)
- Missing data: Relatively easy - just add a
null=["NA"]topread_csvfunction. Question is what to do with the na values (fill to zero is probably easiest / likely avoids any downstream issues).- (That said, na is strictly not zero - and also maybe there isn't any downstream issues with storing a na in this case anyway - given the nature of PV_TOT field?)
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