STATIONOWNER

STATIONOWNER sets out the owner details of each station.

STATIONOWNER is public data, and is available to all participants.

Source

STATIONOWNER is updated whenever there is a change in the station owner or new units are registered.

Column Schema

EFFECTIVEDATE

Effective date of this record

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

This column is mandatory, and a primary key.

Example: 1998/10/25 00:00:00

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

PARTICIPANTID

Unique participant identifier

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

AGLE
BASSLINK
BBPOWER
BBTHREE
BORAL
CAPTPL
CATHROCK
CHALLHWF
CNRGY
CNUNDAWF

STATIONID

Station Identifier

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

AGLHAL
AGLNOW1
AGLSOM
ANGASTON
APS
BAPS
BARCALDN
BARRON
BASSLINK
BASTYAN

VERSIONNO

Version no of record within the effective date

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

This column is mandatory, and a primary key.

Examples: 1, 51

LASTCHANGED

Last date and time record changed

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 1998/10/29 18:03:18

New Data Timing

When there is a station owner change or new unit registration

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("LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("EFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "EFFECTIVEDATE": pl.Date(),
            "PARTICIPANTID": pl.Categorical,
            "STATIONID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt16
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE', 'PARTICIPANTID', 'STATIONID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["EFFECTIVEDATE", "PARTICIPANTID", "STATIONID", "VERSIONNO"], keep="last"
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_STATIONOWNER_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

EFFECTIVEDATE	PARTICIPANTID	STATIONID	VERSIONNO	LASTCHANGED
1998/10/25 00:00:00	ETSACOR	OSBORNE	1	1998/10/29 18:03:18
1998/10/25 00:00:00	COALCO	NORTHP	2	1998/11/02 12:10:31
1998/10/25 00:00:00	COALCO	PLAYF	2	1998/11/02 12:10:31
1998/10/25 00:00:00	CSENERGY	CALLIDE	2	1998/11/02 12:10:51
1998/10/25 00:00:00	CSENERGY	SWANBANK	2	1998/11/02 12:10:52
1998/10/25 00:00:00	DELTA	MM	2	1998/11/02 12:10:55
1998/10/25 00:00:00	DELTA	MP	2	1998/11/02 12:10:55
1998/10/25 00:00:00	DELTA	VP	2	1998/11/02 12:10:56
1998/10/25 00:00:00	DELTA	WW	2	1998/11/02 12:10:56
1998/10/25 00:00:00	ECOGEN	JEERA	2	1998/11/02 12:10:57
1998/10/25 00:00:00	ECOGEN	JEERB	2	1998/11/02 12:10:57
...

C	SETP.WORLD	DVD_STATIONOWNER	AEMO	PUBLIC	2026/10/09	16:34:19	001791527659098	MONTHLY_ARCHIVE	001791527659098
I	PARTICIPANT_REGISTRATION	STATIONOWNER	1	EFFECTIVEDATE	PARTICIPANTID	STATIONID	VERSIONNO	LASTCHANGED
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	ETSACOR	OSBORNE	1	1998/10/29 18:03:18
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	COALCO	NORTHP	2	1998/11/02 12:10:31
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	COALCO	PLAYF	2	1998/11/02 12:10:31
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	CSENERGY	CALLIDE	2	1998/11/02 12:10:51
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	CSENERGY	SWANBANK	2	1998/11/02 12:10:52
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	DELTA	MM	2	1998/11/02 12:10:55
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	DELTA	MP	2	1998/11/02 12:10:55
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	DELTA	VP	2	1998/11/02 12:10:56
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	DELTA	WW	2	1998/11/02 12:10:56
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	ECOGEN	JEERA	2	1998/11/02 12:10:57
D	PARTICIPANT_REGISTRATION	STATIONOWNER	1	1998/10/25 00:00:00	ECOGEN	JEERB	2	1998/11/02 12:10:57
...
C	END OF REPORT	1003

EFFECTIVEDATE,PARTICIPANTID,STATIONID,VERSIONNO,LASTCHANGED
"1998/10/25 00:00:00",ETSACOR,OSBORNE,1,"1998/10/29 18:03:18"
"1998/10/25 00:00:00",COALCO,NORTHP,2,"1998/11/02 12:10:31"
"1998/10/25 00:00:00",COALCO,PLAYF,2,"1998/11/02 12:10:31"
"1998/10/25 00:00:00",CSENERGY,CALLIDE,2,"1998/11/02 12:10:51"
"1998/10/25 00:00:00",CSENERGY,SWANBANK,2,"1998/11/02 12:10:52"
"1998/10/25 00:00:00",DELTA,MM,2,"1998/11/02 12:10:55"
"1998/10/25 00:00:00",DELTA,MP,2,"1998/11/02 12:10:55"
"1998/10/25 00:00:00",DELTA,VP,2,"1998/11/02 12:10:56"
"1998/10/25 00:00:00",DELTA,WW,2,"1998/11/02 12:10:56"
"1998/10/25 00:00:00",ECOGEN,JEERA,2,"1998/11/02 12:10:57"
"1998/10/25 00:00:00",ECOGEN,JEERB,2,"1998/11/02 12:10:57"
...

Raw Text with Metadata

C,SETP.WORLD,DVD_STATIONOWNER,AEMO,PUBLIC,2026/10/09,16:34:19,001791527659098,MONTHLY_ARCHIVE,001791527659098
I,PARTICIPANT_REGISTRATION,STATIONOWNER,1,EFFECTIVEDATE,PARTICIPANTID,STATIONID,VERSIONNO,LASTCHANGED
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",ETSACOR,OSBORNE,1,"1998/10/29 18:03:18"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",COALCO,NORTHP,2,"1998/11/02 12:10:31"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",COALCO,PLAYF,2,"1998/11/02 12:10:31"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",CSENERGY,CALLIDE,2,"1998/11/02 12:10:51"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",CSENERGY,SWANBANK,2,"1998/11/02 12:10:52"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",DELTA,MM,2,"1998/11/02 12:10:55"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",DELTA,MP,2,"1998/11/02 12:10:55"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",DELTA,VP,2,"1998/11/02 12:10:56"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",DELTA,WW,2,"1998/11/02 12:10:56"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",ECOGEN,JEERA,2,"1998/11/02 12:10:57"
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,"1998/10/25 00:00:00",ECOGEN,JEERB,2,"1998/11/02 12:10:57"
...
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 393 KB when zipped, 4 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

EFFECTIVEDATE
PARTICIPANTID
STATIONID
VERSIONNO

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name	Report Subtype	Version
PARTICIPANT_REGISTRATION	STATIONOWNER	1

This means that the CSV files start with metadata columns:

I,PARTICIPANT_REGISTRATION,STATIONOWNER,1,...
D,PARTICIPANT_REGISTRATION,STATIONOWNER,1,...

ROW_FILTER_TYPE is LASTCHANGED

Indexes

There is more than one index.

Index 1:

LASTCHANGED

Index 2:

STATIONID
EFFECTIVEDATE
VERSIONNO

Index 3:

PARTICIPANTID

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: PARTICIPANT_REGISTRATION