openclimatefix/uk-pv-national-xg
National PV forecasting using Gradient Boosted Methods.
Jupyter Notebook
Issues
- 1
Need to pin ocf datapipes
#113 opened by peterdudfield - 0
fix tests
#111 opened by peterdudfield - 0
extend to 40 hours
#104 opened by peterdudfield - 0
- 8
New features
#45 opened by peterdudfield - 3
Adjuster for National_XG
#63 opened by peterdudfield - 0
- 1
odd error bars
#96 opened by peterdudfield - 2
scalling should be relative to mean
#94 opened by peterdudfield - 1
upgrade datamodel gsp names
#92 opened by peterdudfield - 1
pvlevels not in database
#91 opened by peterdudfield - 56
probabilistic ML
#66 opened by peterdudfield - 1
Forecast Horizon 0 - 90 is the same
#82 opened by peterdudfield - 3
Extend to 40 hours
#69 opened by peterdudfield - 0
Why doesnt this work with pandas==2.0.0
#70 opened by peterdudfield - 5
Blend forecasts
#58 opened by peterdudfield - 0
Investigate created time
#28 opened by peterdudfield - 4
[meta] Production
#1 opened by peterdudfield - 0
first 8 hours not saved in db
#55 opened by peterdudfield - 0
Get tests working on CI
#24 opened by peterdudfield - 6
If production is not very accurate
#18 opened by peterdudfield - 3
zero out nightime
#27 opened by peterdudfield - 0
Notify/raise eror with stale NWP data.
#26 opened by thomasarmstrong98 - 0
Add simple README with example usage
#12 opened by jacobbieker - 2
Remove references to local data
#8 opened by thomasarmstrong98 - 0
- 2
add method to save data to database
#7 opened by peterdudfield - 1
Terraform: National
#9 opened by peterdudfield - 0
NWP Prod/GCP Discrepancy
#16 opened by thomasarmstrong98 - 0
- 1
add setup.py and requirements
#6 opened by peterdudfield - 0
add tests
#5 opened by peterdudfield - 0
Create offline script to run inference using 1 day of GSP and NWP data. This use the schematic above. Add place holder for saving the results to the database
#3 opened by thomasarmstrong98