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Machine learning algorithm details
Release Date:
2023-04-04
Algo type:
Type: A
Random Forest Regression
Training period
From March 2018 to 27th of 30th March 2023.
Hyper parameters:
No weighting across time periods. It is likely that we’ll add weighting to more recent training periods.
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dispatchprice for each region
Training period
From March 2018 to 27th of 30th March 2023.
List of features:
Predispatchregionsum fields used (including all regions) |
|---|
hours_out |
rrp |
dispatchableload |
netinterchange |
rolling_rrp |
availablegeneration |
dispatchablegeneration |
ss_solar_clearedmw |
ss_solar_uigf |
ss_wind_clearedmw |
ss_wind_uigf |
totaldemand |
totalintermittentgeneration |
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