Change Application of Seasonal Derating to Post-Aggregation
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enhancement
- Dominant language
- Python
- Stars
- 148
- Forks
- 55
- Avg merge
- 2d 11h
- Merged PRs (30d)
- 18
Description
Feature Request
Change Application of Seasonal Derating to Post-Aggregation - it will save a lot of memory since we won't need hourly timeseries of these until after simplify and cluster. Also apply capacity weighted averaging to these in the aggregation strategy
Suggested Solution
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Additional Info
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Research direction
The issue names no files, tests, or entry points. Trace the seasonal derating logic and aggregation strategy in the Python code, then verify that derating occurs after simplification and clustering and that the aggregated values use capacity-weighted averaging.
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Assessment
- Tech stack
- python
- Domain
- data, performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100