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Predispatch model | p7day model | |
|---|---|---|
Modelid | 20221129_171124_CB_1 | |
Model retraining date | 4th April 2023 | |
Machine Learning Algorithm | Random Forecast Regression | Random Forecast Regression |
Training Period | March 2018 to 30th March 2023 | |
Hyper-parameter type | A | A |
Hyper-parameter notes | No weighting across time periods. | No weighting across time periods. |
Target | Dispatchprice (30min resolution) | Dispatchprice (30min resolution) |
Input (and training) variables | rrp dispatchableload netinterchange rolling_rrp (availablegeneration - uigf) (dispatchablegeneration - scheduled_clearedmw) ss_solar_clearedmw ss_solar_uigf ss_wind_clearedmw ss_wind_uigf totaldemand totalintermittentgeneration |
Machine learning algorithm details
Hyper parameters:
No weighting across time periods. It is likely that we’ll add weighting to more recent training periods.
To be disclosed with later release stages.
Model_id:
20221129_171124_CB_1
Input variables (features)
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| Info |
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Variables that imply binding interconnectors (such as limits and marginal values) are currently not included as features. |
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