Updated 1st August 2023
Predispatch model | p7day model | |
|---|---|---|
Model_id | 20230729_213406_CB_2 | 20230213_012319_CB_7D_1 |
Previous model release date | 20th April 2023 | 20th April 2023 |
Latest release date (after retraining) | 1st August 2023 | 1st August 2023 |
Machine Learning Algorithm | Ensemble predictor: gradient boosting | Ensemble predictor: gradient boosting |
Training Period | 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 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 netinterchage (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 aggregatecapacityavailable ss_solar_cleared ss_wind_uigf ss_wind_cleared ss_solar_uigf demand10 demand50 totalintermittentgeneration demand_and_nonschedgen |
Variables that imply binding interconnectors (such as limits and marginal values) are currently not included as features.