RESDEMANDTRK

RESDEMANDTRK defines the existence and versioning information of a forecast for a specific region and trading date. RESDEMANDTRK and PERDEMAND have a parent/child relationship, and are for defined forecast regional demands since market start. RESDEMANDTRK defines the existence and versioning information of a forecast for a specific region and trading date. PERDEMAND defines the numerical forecast values for each trading interval of a the trading day for that region. A complete trading day forecast for one region consists of one RESDEMANDTRK record and 48 PERDEMAND records.

RESDEMANDTRK data is public, so is available to all participants.

Source

RESDEMANDTRK updates are ad hoc.

Volume

27000 rows per year.

Column Schema

EFFECTIVEDATE

Trading Date of the regional forecast

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

This column is mandatory, and a primary key.

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

Note that AEMO represents dates as datetimes with a midnight time component.

OFFERDATE

Date the forecast was created

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

This column is mandatory, and a primary key.

Example: 2026/08/25 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

REGIONID

Unique RegionID

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.

VERSIONNO

Version of this forecast with respect to the Effectivedate and Offerdate

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

Examples: 2, 48

AUTHORISEDBY

Identifier of authorising user

SQL Type: VARCHAR2(10) Polars Type: str

This column is not mandatory.

Example: AEMO\sa_r_

AUTHORISEDDATE

Date forecast authorised

Warning

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

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

This column is not mandatory.

Example: 2026/08/25 12:57:01

FILENAME

Tracking purposes only

SQL Type: VARCHAR2(40) Polars Type: str

This column is not mandatory.

LASTCHANGED

Date and time the record was last modified

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2026/08/25 12:57:10

New Data Timing

Ad hoc

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"

# Dates are represented as datetimes at midnight

d_fmt = "%Y/%m/%d 00:00:00"

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("AUTHORISEDDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("EFFECTIVEDATE", "OFFERDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "EFFECTIVEDATE": pl.Date(),
            "OFFERDATE": pl.Date(),
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "VERSIONNO": int,  # or pl.UInt16
            "AUTHORISEDBY": str,
            "FILENAME": str,
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE', 'OFFERDATE', 'REGIONID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["EFFECTIVEDATE", "OFFERDATE", "REGIONID", "VERSIONNO"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_RESDEMANDTRK_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

EFFECTIVEDATE	REGIONID	OFFERDATE	VERSIONNO	FILENAME	AUTHORISEDDATE	AUTHORISEDBY	LASTCHANGED
2026/09/01 00:00:00	NSW1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:10
2026/09/01 00:00:00	QLD1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:11
2026/09/01 00:00:00	SA1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:12
2026/09/01 00:00:00	TAS1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:12
2026/09/01 00:00:00	VIC1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:13
2026/09/01 00:00:00	NSW1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:15
2026/09/01 00:00:00	QLD1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:16
2026/09/01 00:00:00	SA1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:17
2026/09/01 00:00:00	TAS1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:17
2026/09/01 00:00:00	VIC1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:18
2026/09/01 00:00:00	NSW1	2026/08/25 00:00:00	30		2026/08/25 14:57:00	AEMO\sa_r_	2026/08/25 14:57:10
...

C	SETP.WORLD	DVD_RESDEMANDTRK	AEMO	PUBLIC	2026/10/09	16:28:04	001791527284070	MONTHLY_ARCHIVE	001791527284070
I	DEMAND	TRK	1	EFFECTIVEDATE	REGIONID	OFFERDATE	VERSIONNO	FILENAME	AUTHORISEDDATE	AUTHORISEDBY	LASTCHANGED
D	DEMAND	TRK	1	2026/09/01 00:00:00	NSW1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:10
D	DEMAND	TRK	1	2026/09/01 00:00:00	QLD1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:11
D	DEMAND	TRK	1	2026/09/01 00:00:00	SA1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:12
D	DEMAND	TRK	1	2026/09/01 00:00:00	TAS1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:12
D	DEMAND	TRK	1	2026/09/01 00:00:00	VIC1	2026/08/25 00:00:00	26		2026/08/25 12:57:01	AEMO\sa_r_	2026/08/25 12:57:13
D	DEMAND	TRK	1	2026/09/01 00:00:00	NSW1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:15
D	DEMAND	TRK	1	2026/09/01 00:00:00	QLD1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:16
D	DEMAND	TRK	1	2026/09/01 00:00:00	SA1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:17
D	DEMAND	TRK	1	2026/09/01 00:00:00	TAS1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:17
D	DEMAND	TRK	1	2026/09/01 00:00:00	VIC1	2026/08/25 00:00:00	28		2026/08/25 13:57:06	AEMO\sa_r_	2026/08/25 13:57:18
D	DEMAND	TRK	1	2026/09/01 00:00:00	NSW1	2026/08/25 00:00:00	30		2026/08/25 14:57:00	AEMO\sa_r_	2026/08/25 14:57:10
...
C	END OF REPORT	1003

EFFECTIVEDATE,REGIONID,OFFERDATE,VERSIONNO,FILENAME,AUTHORISEDDATE,AUTHORISEDBY,LASTCHANGED
"2026/09/01 00:00:00",NSW1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:10"
"2026/09/01 00:00:00",QLD1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:11"
"2026/09/01 00:00:00",SA1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:12"
"2026/09/01 00:00:00",TAS1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:12"
"2026/09/01 00:00:00",VIC1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:13"
"2026/09/01 00:00:00",NSW1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:15"
"2026/09/01 00:00:00",QLD1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:16"
"2026/09/01 00:00:00",SA1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:17"
"2026/09/01 00:00:00",TAS1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:17"
"2026/09/01 00:00:00",VIC1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:18"
"2026/09/01 00:00:00",NSW1,"2026/08/25 00:00:00",30,,"2026/08/25 14:57:00",AEMO\sa_r_,"2026/08/25 14:57:10"
...

Raw Text with Metadata

C,SETP.WORLD,DVD_RESDEMANDTRK,AEMO,PUBLIC,2026/10/09,16:28:04,001791527284070,MONTHLY_ARCHIVE,001791527284070
I,DEMAND,TRK,1,EFFECTIVEDATE,REGIONID,OFFERDATE,VERSIONNO,FILENAME,AUTHORISEDDATE,AUTHORISEDBY,LASTCHANGED
D,DEMAND,TRK,1,"2026/09/01 00:00:00",NSW1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:10"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",QLD1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:11"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",SA1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:12"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",TAS1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:12"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",VIC1,"2026/08/25 00:00:00",26,,"2026/08/25 12:57:01",AEMO\sa_r_,"2026/08/25 12:57:13"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",NSW1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:15"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",QLD1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:16"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",SA1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:17"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",TAS1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:17"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",VIC1,"2026/08/25 00:00:00",28,,"2026/08/25 13:57:06",AEMO\sa_r_,"2026/08/25 13:57:18"
D,DEMAND,TRK,1,"2026/09/01 00:00:00",NSW1,"2026/08/25 00:00:00",30,,"2026/08/25 14:57:00",AEMO\sa_r_,"2026/08/25 14:57:10"
...
C,"END OF REPORT",1003

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 1 of 2015. 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 2 MB when zipped, 18 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

EFFECTIVEDATE
OFFERDATE
REGIONID
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: