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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

Validation Results

These are the results of the best model generated through our experimentation process and compares the results with the previous model across our validation set (our test period).

All error metrics are in $/MWhr.

PD Results

Metric/Region

Absolute Mean Error New Model

Absolute Mean Error Previous Model

Average Error New Model

Average Error Previous Model

NSW1

37.16954

63.55691

19.63544

38.2957

VIC1

29.91769

37.21212

6.468355

2.998254

QLD1

36.46522

132.3778

15.79482

112.1593

SA1

45.14167

65.13762

19.56986

35.5676

TAS1

19.53866

17.71054

9.396361

6.877853

7 Day Results

Metric/Region

Absolute Mean Error New Model

Absolute Mean Error Previous Model

Average Error New Model

Average Error Previous Model

NSW1

34.06431

48.10104

15.01693

37.08693

VIC1

31.66891

44.83715

1.215206

19.20936

QLD1

39.10014

53.91976

17.32682

35.32128

SA1

45.46252

104.0136

21.62486

78.54663

TAS1

24.07958

45.70449

14.92562

39.71673

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


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