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INTERMITTENT_FORECAST_TRK

Uniquely tracks which Intermittent Generation forecast was used for the DUID in which Dispatch run

Column Schema

DUID

Tracks to INTERMITTENT_DS_RUN.DUID

Warning

This column may contain funny characters such as / (slash) or # (hash). This may break hive-style partitioning.

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

  • ADPPV1
  • ALDGASF1
  • ARWF1
  • AVLSF1
  • BALDHWF1
  • BANGOWF1
  • BANGOWF2
  • BANN1
  • BERYLSF1
  • BLUEGSF1

SETTLEMENTDATE

DateTime of the Dispatch run (dispatch interval ending)

Warning

Despite what the name suggests, this is a datetime, not a date.

SQL Type: DATE Polars Type: pl.Datetime()

This column is mandatory, and a primary key.

Example: 2026/09/01 00:05:00

FORECAST_PRIORITY

Tracks to INTERMITTENT_DS_RUN.FORECAST_PRIORITY, except for -1 which denotes SCADA or FCST, and 0 which denotes Last Target

SQL Type: NUMBER(10,0) Polars Type: pl.Int64

This column is not mandatory.

Examples: -1, 1, 1217

OFFERDATETIME

Tracks to INTERMITTENT_DS_RUN.OFFERDATETIME

SQL Type: DATE Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2026/08/31 23:55:15

ORIGIN

Tracks to INTERMITTENT_DS_RUN.ORIGIN, except when the forecast used is either SCADA or FCST or Last Target

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

Examples:

  • ALNTARES
  • ARARATWF
  • AWEFS_ASEFS
  • BBPEM
  • BERBANKW
  • BOCOROCK
  • BODWF1
  • BULGANA
  • BUNGALA1
  • CLARESF1

New Data Timing

Dispatch run

Code Examples

Polars

Casting is enums, categoricals etc is not essential, but may speed up parsing. Swapping int for pl.UInt16, pl.Int32 would also speed up parsing. However some of the datatypes are inferred, so they may be wrong.

This code deduplicates for you. Deduplication is normally only required across multiple months.

This code assumes that all columns are present, which may not be true for older files.

import polars as pl
import polars.selectors as cs

# e.g. "2029/03/15 00:05:00"
dt_s_fmt = "%Y/%m/%d %H:%M:%S"

csv_paths = ["SOMEFILE.CSV", "OTHERFILE.CSV"]

lf = (
    pl.concat(
        [
            pl.scan_csv(
                csv_path,  # must be unzipped beforehand
                skip_rows=1,  # skip the header
                infer_schema=False,  # much faster
            )
            .filter(cs.by_index(0) == "D")  # drop the footer
            .select(~cs.by_index(range(4)))  # drop metadata columns
            for csv_path in csv_paths
        ],
        how="diagonal_relaxed",
    )
    .with_columns(
        pl.col("SETTLEMENTDATE", "OFFERDATETIME").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {"DUID": pl.Categorical, "FORECAST_PRIORITY": int, "ORIGIN": str}  # or pl.Int64
    )
    # Deduplicate
    # We want one row per ['DUID', 'SETTLEMENTDATE']
    .unique(subset=["DUID", "SETTLEMENTDATE"], keep="any")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_INTERMITTENT_FORECAST_TRK_FILE01_202609010000.zip

SETTLEMENTDATEDUIDORIGINFORECAST_PRIORITYOFFERDATETIME
2026/09/01 00:05:00ADPPV1AWEFS_ASEFS3022026/08/31 23:59:41
2026/09/01 00:05:00ALDGASF1AWEFS_ASEFS1022026/08/31 23:59:41
2026/09/01 00:05:00ARWF1ARARATWF1012026/08/31 23:59:47
2026/09/01 00:05:00AVLSF1AWEFS_ASEFS3022026/08/31 23:59:41
2026/09/01 00:05:00BALDHWF1AWEFS_ASEFS3022026/08/31 23:59:41
2026/09/01 00:05:00BANGOWF1AWEFS_ASEFS3022026/08/31 23:59:41
2026/09/01 00:05:00BANGOWF2AWEFS_ASEFS3022026/08/31 23:59:41
2026/09/01 00:05:00BANN1ALNTARES1002026/08/31 23:59:47
2026/09/01 00:05:00BERYLSF1FSNSW1002026/08/31 23:59:45
2026/09/01 00:05:00BLUEGSF1AWEFS_ASEFS3022026/08/31 23:59:41
2026/09/01 00:05:00BLUFF1AWEFS_ASEFS1022026/08/31 23:59:41
...

CSETP.WORLDDVD_INTERMITTENT_FORECAST_TRKAEMOPUBLIC2026/10/0915:51:35001791525095761MONTHLY_ARCHIVE001791525095761
IDISPATCHINTERMITTENT_FORECAST_TRK1SETTLEMENTDATEDUIDORIGINFORECAST_PRIORITYOFFERDATETIME
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00ADPPV1AWEFS_ASEFS3022026/08/31 23:59:41
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00ALDGASF1AWEFS_ASEFS1022026/08/31 23:59:41
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00ARWF1ARARATWF1012026/08/31 23:59:47
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00AVLSF1AWEFS_ASEFS3022026/08/31 23:59:41
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00BALDHWF1AWEFS_ASEFS3022026/08/31 23:59:41
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00BANGOWF1AWEFS_ASEFS3022026/08/31 23:59:41
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00BANGOWF2AWEFS_ASEFS3022026/08/31 23:59:41
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00BANN1ALNTARES1002026/08/31 23:59:47
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00BERYLSF1FSNSW1002026/08/31 23:59:45
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00BLUEGSF1AWEFS_ASEFS3022026/08/31 23:59:41
DDISPATCHINTERMITTENT_FORECAST_TRK12026/09/01 00:05:00BLUFF1AWEFS_ASEFS1022026/08/31 23:59:41
...
CEND OF REPORT1003

SETTLEMENTDATE,DUID,ORIGIN,FORECAST_PRIORITY,OFFERDATETIME
"2026/09/01 00:05:00",ADPPV1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
"2026/09/01 00:05:00",ALDGASF1,AWEFS_ASEFS,102,"2026/08/31 23:59:41"
"2026/09/01 00:05:00",ARWF1,ARARATWF,101,"2026/08/31 23:59:47"
"2026/09/01 00:05:00",AVLSF1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
"2026/09/01 00:05:00",BALDHWF1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
"2026/09/01 00:05:00",BANGOWF1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
"2026/09/01 00:05:00",BANGOWF2,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
"2026/09/01 00:05:00",BANN1,ALNTARES,100,"2026/08/31 23:59:47"
"2026/09/01 00:05:00",BERYLSF1,FSNSW,100,"2026/08/31 23:59:45"
"2026/09/01 00:05:00",BLUEGSF1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
"2026/09/01 00:05:00",BLUFF1,AWEFS_ASEFS,102,"2026/08/31 23:59:41"
...

C,SETP.WORLD,DVD_INTERMITTENT_FORECAST_TRK,AEMO,PUBLIC,2026/10/09,15:51:35,001791525095761,MONTHLY_ARCHIVE,001791525095761
I,DISPATCH,INTERMITTENT_FORECAST_TRK,1,SETTLEMENTDATE,DUID,ORIGIN,FORECAST_PRIORITY,OFFERDATETIME
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",ADPPV1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",ALDGASF1,AWEFS_ASEFS,102,"2026/08/31 23:59:41"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",ARWF1,ARARATWF,101,"2026/08/31 23:59:47"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",AVLSF1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",BALDHWF1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",BANGOWF1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",BANGOWF2,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",BANN1,ALNTARES,100,"2026/08/31 23:59:47"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",BERYLSF1,FSNSW,100,"2026/08/31 23:59:45"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",BLUEGSF1,AWEFS_ASEFS,302,"2026/08/31 23:59:41"
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,"2026/09/01 00:05:00",BLUFF1,AWEFS_ASEFS,102,"2026/08/31 23:59:41"
...
C,"END OF REPORT",1003

Availability

Visibility: Private & Public Next-Day

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 8 of 2024. The most recent available data is month 9 of 2026.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 100 MB when zipped, 998 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

The transaction type is "insert", which means that you will usually not see duplicate data. If you do, you can deduplicate based on the primary keys, without sorting first. Rows from different files with the same primary keys should have the same values.

PDR Loader configuration is:

Report Name Report Subtype Version
DISPATCH INTERMITTENT_FORECAST_TRK 1

This means that the CSV files start with metadata columns:

I,DISPATCH,INTERMITTENT_FORECAST_TRK,1,...
D,DISPATCH,INTERMITTENT_FORECAST_TRK,1,...

This page as JSON (schema documented here, but may change)

Download a JSON Schema specification for this table.

Official AEMO schema documentation

Other Information

Package: DISPATCH