PD_INTERMITTENT_FCST_TRK

Uniquely tracks which Intermittent Generation forecast run (from INTERMITTENT_GEN_FCST_RUN) was used for the DUID in which Pre-dispatch run.

Column Schema

DUID

Dispatchable unit identifier, tracks to INTERMITTENT_GEN_FCST_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.

Example: W/HOE#2

PREDISPATCHSEQNO

Unique identifier of Pre-dispatch run in the form YYYYMMDDPP with 01 at 04:30.

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

FORECAST_PRIORITY

Priority of the forecast run used for the PD run, tracks to INTERMITTENT_GEN_FCST_RUN.FORECAST_PRIORITY.

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

This column is not mandatory.

FORECAST_RUN_DATETIME

Datetime (interval ending) when this forecast run is valid. It aligns with run_datetime, unless a forecast run is missed, in this case the previous run is used. Tracks to INTERMITTENT_GEN_FCST_RUN.FORECAST_RUN_DATETIME.

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

This column is not mandatory.

Example: 2026/01/20 00:05:00

OFFERDATETIME

Submission datetime of the forecast run used for the PD run, tracks to INTERMITTENT_GEN_FCST_RUN.OFFERDATETIME.

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

This column is not mandatory.

Example: 2026/01/20 00:05:00

PROVIDERID

Provider of the forecast run used for the PD run, tracks to INTERMITTENT_GEN_FCST_RUN.PROVIDERID.

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

This column is not mandatory.

New Data Timing

Every 30 minutes when a new Pre-dispatch run is published

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("FORECAST_RUN_DATETIME", "OFFERDATETIME").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
    )
    .cast(
        {
            "DUID": pl.Categorical,
            "PREDISPATCHSEQNO": str,
            "FORECAST_PRIORITY": int,  # or pl.Int64
            "PROVIDERID": pl.Categorical,
        }
    )
    # Deduplicate
    # We want one row per ['DUID', 'PREDISPATCHSEQNO']
    .unique(subset=["DUID", "PREDISPATCHSEQNO"], keep="any")
)

Nemosis

This table is not yet available in Nemosis.

Availability

AEMO's documentation states that this table's visibility is "Private & Public Next-Day". However, it is not available in the public monthly MMSDM archive. AEMO probably call this public because it is available to all market participants over private FTP.

There is a chance that is is still public to non-participants. It may only be available for some months; or (rarely) it may be available in a non-standard location.

Deduplication and PDR Loader Configuration

The primary keys are:

• DUID

• PREDISPATCHSEQNO

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
PREDISPATCH	PD_INTERMITTENT_FCST_TRK	1

This means that the CSV files start with metadata columns:

I,PREDISPATCH,PD_INTERMITTENT_FCST_TRK,1,...
D,PREDISPATCH,PD_INTERMITTENT_FCST_TRK,1,...

Links

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: PRE_DISPATCH

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