DISPATCH_PRICE_REVISION

An audit trail of price changes on the DISPATCHPRICE table (i.e. for 5 minute dispatch prices for energy and FCAS).

Column Schema

BIDTYPE

Affected Bid Type Identifier

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

ENERGY
LOWERREG
LOWER60SEC
RAISE5MIN
LOWER5MIN
LOWER6SEC
RAISE60SEC
RAISE6SEC
RAISEREG
RAISE1SEC
LOWER1SEC

This column is mandatory, and a primary key.

INTERVENTION

Manual intervention flag; always 0

For more information, see the dedicated documentation page.

SQL Type: NUMBER(2,0) Polars Type: pl.Boolean

This column is mandatory, and a primary key.

Example: 0

REGIONID

Affected Region Identifier

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

QLD1
VIC1
TAS1
NSW1
SA1
SNOWY1

This column is mandatory, and a primary key.

SETTLEMENTDATE

Market date and time starting at 04:05

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: 2026/03/23 11:45:00

VERSIONNO

Version No of price revision for this settlement date

SQL Type: NUMBER(3) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

Example: 1

RUNNO

Dispatch run no; always 1

This column only ever takes one value: 1

(The SQL type is NUMBER(3,0).)

AEMO marked this column as mandatory, and a primary key. However, since it only ever takes one value, you can ignore it.

LASTCHANGED

The datetime the record was last changed

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2026/03/24 12:27:37

RRP_NEW

New RRP in DISPATCHPRICE table

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.02, 44.02

RRP_OLD

Old RRP from DISPATCHPRICE table

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.01, 0, 6.98

New Data Timing

Every 5 minutes

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", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"INTERVENTION": pl.UInt8})
    .cast(
        {
            "BIDTYPE": pl.Enum(
                [
                    "ENERGY",
                    "LOWERREG",
                    "LOWER60SEC",
                    "RAISE5MIN",
                    "LOWER5MIN",
                    "LOWER6SEC",
                    "RAISE60SEC",
                    "RAISE6SEC",
                    "RAISEREG",
                    "RAISE1SEC",
                    "LOWER1SEC",
                ]
            ),
            "INTERVENTION": pl.Boolean,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "VERSIONNO": int,  # or pl.UInt16
            "RUNNO": pl.Enum(["1"]),
            "RRP_NEW": pl.Float64,
            "RRP_OLD": pl.Float64,
        }
    )
    # Drop deprecated/unused columns
    .drop("RUNNO")
    # Deduplicate
    # We want one row per ['BIDTYPE', 'INTERVENTION', 'REGIONID', 'RUNNO', 'SETTLEMENTDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "BIDTYPE",
            "INTERVENTION",
            "REGIONID",
            "RUNNO",
            "SETTLEMENTDATE",
            "VERSIONNO",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_DISPATCH_PRICE_REVISION_FILE01_202603010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

SETTLEMENTDATE	RUNNO	INTERVENTION	REGIONID	BIDTYPE	VERSIONNO	RRP_NEW	RRP_OLD	LASTCHANGED
2026/03/23 11:45:00	1	0	NSW1	ENERGY	1	44.02	0.44669	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	LOWER5MIN	1	0.03	0	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	LOWER60SEC	1	0.07	0	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	LOWER6SEC	1	0.05	0	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	LOWERREG	1	0.66	0.9	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	RAISE1SEC	1	0.02	0.01	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	RAISE5MIN	1	0.02	0.01	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	RAISE60SEC	1	0.04	0.03	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	RAISE6SEC	1	0.04	0.05	2026/03/24 12:27:37
2026/03/23 11:45:00	1	0	NSW1	RAISEREG	1	3.73	6.98	2026/03/24 12:27:37

C	SETP.WORLD	DVD_DISPATCH_PRICE_REVISION	AEMO	PUBLIC	2026/04/07	14:15:26	001775535326830	MONTHLY_ARCHIVE	001775535326830
I	PRICELOAD	PRICE_REVISION	1	SETTLEMENTDATE	RUNNO	INTERVENTION	REGIONID	BIDTYPE	VERSIONNO	RRP_NEW	RRP_OLD	LASTCHANGED
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	ENERGY	1	44.02	0.44669	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	LOWER5MIN	1	0.03	0	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	LOWER60SEC	1	0.07	0	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	LOWER6SEC	1	0.05	0	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	LOWERREG	1	0.66	0.9	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	RAISE1SEC	1	0.02	0.01	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	RAISE5MIN	1	0.02	0.01	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	RAISE60SEC	1	0.04	0.03	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	RAISE6SEC	1	0.04	0.05	2026/03/24 12:27:37
D	PRICELOAD	PRICE_REVISION	1	2026/03/23 11:45:00	1	0	NSW1	RAISEREG	1	3.73	6.98	2026/03/24 12:27:37
C	END OF REPORT	13

SETTLEMENTDATE,RUNNO,INTERVENTION,REGIONID,BIDTYPE,VERSIONNO,RRP_NEW,RRP_OLD,LASTCHANGED
"2026/03/23 11:45:00",1,0,NSW1,ENERGY,1,44.02,0.44669,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,LOWER5MIN,1,0.03,0,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,LOWER60SEC,1,0.07,0,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,LOWER6SEC,1,0.05,0,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,LOWERREG,1,0.66,0.9,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,RAISE1SEC,1,0.02,0.01,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,RAISE5MIN,1,0.02,0.01,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,RAISE60SEC,1,0.04,0.03,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,RAISE6SEC,1,0.04,0.05,"2026/03/24 12:27:37"
"2026/03/23 11:45:00",1,0,NSW1,RAISEREG,1,3.73,6.98,"2026/03/24 12:27:37"

Raw Text with Metadata

C,SETP.WORLD,DVD_DISPATCH_PRICE_REVISION,AEMO,PUBLIC,2026/04/07,14:15:26,001775535326830,MONTHLY_ARCHIVE,001775535326830
I,PRICELOAD,PRICE_REVISION,1,SETTLEMENTDATE,RUNNO,INTERVENTION,REGIONID,BIDTYPE,VERSIONNO,RRP_NEW,RRP_OLD,LASTCHANGED
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,ENERGY,1,44.02,0.44669,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,LOWER5MIN,1,0.03,0,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,LOWER60SEC,1,0.07,0,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,LOWER6SEC,1,0.05,0,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,LOWERREG,1,0.66,0.9,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,RAISE1SEC,1,0.02,0.01,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,RAISE5MIN,1,0.02,0.01,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,RAISE60SEC,1,0.04,0.03,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,RAISE6SEC,1,0.04,0.05,"2026/03/24 12:27:37"
D,PRICELOAD,PRICE_REVISION,1,"2026/03/23 11:45:00",1,0,NSW1,RAISEREG,1,3.73,6.98,"2026/03/24 12:27:37"
C,"END OF REPORT",13

Availability

Visibility: Public

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 2 of 2015. The most recent available data is month 3 of 2026.

Warning

There are some months with no files.

Data Size

Each year of data is approximately 7 KB when zipped, 66 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

BIDTYPE
INTERVENTION
REGIONID
RUNNO
SETTLEMENTDATE
VERSIONNO

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
PRICELOAD	PRICE_REVISION	1

This means that the CSV files start with metadata columns:

I,PRICELOAD,PRICE_REVISION,1,...
D,PRICELOAD,PRICE_REVISION,1,...

Indexes

LASTCHANGED

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: DISPATCH