Add `force synthetic` option to load configuration
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- Dominant language
- Python
- Stars
- 615
- Forks
- 459
- Avg merge
- 4d 14h
- Merged PRs (30d)
- 6
Description
Description
Currently, the default configuration uses:
load:
supplement_synthetic: true
Synthetic demand time series are used only when historical data are unavailable. However, for multi-decadal weather-year analyses (e.g. 1990-2020), it could be useful to have an additional option to force the use of synthetic demand across the entire study period.
Mixing synthetic and historical demand data introduces artificial discrepancies between years. Having a consistent demand modelling methodology makes it easier to attribute differences between years solely to meteorological variability.
Proposed solution
A configuration option such as:
load:
force_synthetic: true
could provide a consistent methodology across all weather years while preserving the current default behaviour.
I already have a working implementation and would be happy to open a PR if the maintainers agree with this approach.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by locating the handling of load.supplement_synthetic in the configuration and demand-loading workflow, then check whether related configuration tests or example files exist. Add the force_synthetic option while preserving the current default behavior, and verify that synthetic demand is used across all weather years when enabled.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 64/100