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Predispatch model | p7day model | ||
|---|---|---|---|
Model_id | 2022112920230729_171124213406_CB_12 | 20230213_012319_CB_7D_1 | |
First Previous model release date | 9th December 2022 | 20th April 2023 | |
Latest release date (after retraining) | 4th April 1st August 202320th April | 1st August 2023 | |
Machine Learning Algorithm | Ensemble predictor: gradient boosting | Ensemble predictor: gradient boosting | |
Training Period | March 2018 to 30th March 2023 | March 2018 to 30th March 1st October 2020 to 20th July 2023 | 1st October 2020 to 20th July 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 | PREDISPATCHPRICE rrprolling_rrp DISPATCHPRICE last 3 day average actual RRP for same time PREDISPATCHREGIONSUM (intervention = 0) hours_out time_of_day day_type (weekday_or_weekend) dispatchableload netinterchangenetinterchage (availablegeneration - uigf) (dispatchablegeneration - scheduled_clearedmw) ss_solar_clearedmw ss_solar_uigf ss_wind_clearedmw ss_wind_uigf totaldemand totalintermittentgeneration | STPASA_REGIONSOLUTION hours_out time_of_day day_type (weekday_or_weekend) aggregatepasaavailability aggregatescheduledload netinterchangeunderscarcity unconstrainedcapacity aggregatecapacityavailableconstrainedcapacity ss_solar_cleared ss_wind_uigf ss_wind_cleared ss_solar_uigf demand10 demand50 totalintermittentgeneration demand_and_nonschedgen |
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