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Latest model release

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

aggregatescheduledload

netinterchangeunderscarcity

unconstrainedcapacity

aggregatecapacityavailable

constrainedcapacity

ss_solar_uigf

ss_wind_uigf

ss_solar_cleared

ss_wind_cleared

demand50

totalintermittentgeneration

demand_and_nonschedgen

Variables that imply binding interconnectors (such as limits and marginal values) are currently not included as features.


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