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GENUNITS_UNIT

Physical units within a Gen Unit Set

Column Schema

EFFECTIVEDATE

Effective Date of this detail record

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

This column is mandatory, and a primary key.

Example: 2010/10/27 00:00:00

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

GENSETID

System wide unique Generating Set ID

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

This column is mandatory, and a primary key.

Examples:

  • AGLHAL
  • AGLNOW1
  • AGLSOM
  • AMCORGR1
  • AMCORGR2
  • AMCORGR3
  • ANGAS1
  • ANGAS2
  • APD01
  • APPIN

UNIT_GROUPING_LABEL

Label of Physical Units within the station

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

Examples:

  • 0
  • 1
  • 01-4
  • 39
  • 05-6
  • 07-10
  • 1 & 2
  • 1 - 23
  • 1 - 56
  • 1,2,4

VERSIONNO

Version with respect to the effective date

SQL Type: NUMBER(6,0) Polars Type: pl.UInt32

This column is mandatory, and a primary key.

Examples: 1, 4

AGGREGATION_FLAG

Deprecated as this flag is moved to DUDETAIL table with IESS release.

SQL Type: NUMBER(1,0) Polars Type: pl.Boolean

This column is not mandatory.

Examples: 0, 1

LASTCHANGED

Date/Time when record was changed

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2010/12/16 08:09:53

MAXSTORAGECAPACITY

The rated storage capacity (MWh), information only

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

This column is not mandatory.

Examples: 0.4, 0, 7.7

REGISTEREDCAPACITY

Registered capacity for normal operations

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.011, 0, 1, 1500

REGISTEREDMINCAPACITY

Only applicable for the LOAD side of BDU (MW)

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.4, 0, 4.39

UNIT_COUNT

Number of units in this Gen Unit grouping

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

This column is not mandatory.

Examples: 1, 164

UNIT_MAX_SIZE

Maximum Capacity for each unit in this grouping

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.4, 2, 42.65, 760

UNIT_SIZE

Nameplate Capacity for each unit in this grouping

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.011, 1, 140.6, 750

UNITMINSIZE

Only applicable for the LOAD side of BDU (MW)

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.4, 0, 3.28

New Data Timing

When plant details change

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),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"AGGREGATION_FLAG": pl.UInt8})
    .cast(
        {
            "EFFECTIVEDATE": pl.Date(),
            "GENSETID": pl.Categorical,
            "UNIT_GROUPING_LABEL": str,
            "VERSIONNO": int,  # or pl.UInt32
            "AGGREGATION_FLAG": pl.Boolean,
            "MAXSTORAGECAPACITY": pl.Float64,
            "REGISTEREDCAPACITY": pl.Float64,
            "REGISTEREDMINCAPACITY": pl.Float64,
            "UNIT_COUNT": int,  # or pl.Int64
            "UNIT_MAX_SIZE": pl.Float64,
            "UNIT_SIZE": pl.Float64,
            "UNITMINSIZE": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE', 'GENSETID', 'UNIT_GROUPING_LABEL', 'VERSIONNO']
    # Tie-breaker: greatest value of ['GENSETID', 'EFFECTIVEDATE', 'VERSIONNO', 'UNIT_GROUPING_LABEL']
    .sort(
        ["GENSETID", "EFFECTIVEDATE", "VERSIONNO", "UNIT_GROUPING_LABEL"],
        descending=False,
    )
    .unique(
        subset=["EFFECTIVEDATE", "GENSETID", "UNIT_GROUPING_LABEL", "VERSIONNO"],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_GENUNITS_UNIT_FILE01_202609010000.zip

GENSETIDEFFECTIVEDATEVERSIONNOUNIT_GROUPING_LABELUNIT_COUNTUNIT_SIZEUNIT_MAX_SIZEAGGREGATION_FLAGLASTCHANGEDUNITMINSIZEMAXSTORAGECAPACITYREGISTEREDCAPACITYREGISTEREDMINCAPACITY
HUMENSW12010/10/27 00:00:0011-222902010/11/01 00:00:0029
HUMEV12010/10/27 00:00:0011-222902010/11/01 00:00:0029
HWPS12010/10/27 00:00:0011120002010/11/01 00:00:00200
HWPS22010/10/27 00:00:0012120002010/11/01 00:00:00200
HWPS32010/10/27 00:00:0013120002010/11/01 00:00:00200
HWPS42010/10/27 00:00:0014120002010/11/01 00:00:00200
HWPS52010/10/27 00:00:0015120002010/11/01 00:00:00200
HWPS62010/10/27 00:00:0016120002010/11/01 00:00:00200
HWPS72010/10/27 00:00:0017120002010/11/01 00:00:00200
HWPS82010/10/27 00:00:0018120002010/11/01 00:00:00200
ICSM2010/10/27 00:00:001112502010/11/01 00:00:0025
...

CSETP.WORLDDVD_GENUNITS_UNITAEMOPUBLIC2026/10/0915:36:59001791524219736MONTHLY_ARCHIVE001791524219736
IPARTICIPANT_REGISTRATIONGENUNITS_UNIT2GENSETIDEFFECTIVEDATEVERSIONNOUNIT_GROUPING_LABELUNIT_COUNTUNIT_SIZEUNIT_MAX_SIZEAGGREGATION_FLAGLASTCHANGEDUNITMINSIZEMAXSTORAGECAPACITYREGISTEREDCAPACITYREGISTEREDMINCAPACITY
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HUMENSW12010/10/27 00:00:0011-222902010/11/01 00:00:0029
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HUMEV12010/10/27 00:00:0011-222902010/11/01 00:00:0029
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HWPS12010/10/27 00:00:0011120002010/11/01 00:00:00200
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HWPS22010/10/27 00:00:0012120002010/11/01 00:00:00200
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HWPS32010/10/27 00:00:0013120002010/11/01 00:00:00200
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HWPS42010/10/27 00:00:0014120002010/11/01 00:00:00200
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HWPS52010/10/27 00:00:0015120002010/11/01 00:00:00200
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HWPS62010/10/27 00:00:0016120002010/11/01 00:00:00200
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HWPS72010/10/27 00:00:0017120002010/11/01 00:00:00200
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2HWPS82010/10/27 00:00:0018120002010/11/01 00:00:00200
DPARTICIPANT_REGISTRATIONGENUNITS_UNIT2ICSM2010/10/27 00:00:001112502010/11/01 00:00:0025
...
CEND OF REPORT1003

GENSETID,EFFECTIVEDATE,VERSIONNO,UNIT_GROUPING_LABEL,UNIT_COUNT,UNIT_SIZE,UNIT_MAX_SIZE,AGGREGATION_FLAG,LASTCHANGED,UNITMINSIZE,MAXSTORAGECAPACITY,REGISTEREDCAPACITY,REGISTEREDMINCAPACITY
HUMENSW1,"2010/10/27 00:00:00",1,1-2,2,29,,0,"2010/11/01 00:00:00",,,29,
HUMEV1,"2010/10/27 00:00:00",1,1-2,2,29,,0,"2010/11/01 00:00:00",,,29,
HWPS1,"2010/10/27 00:00:00",1,1,1,200,,0,"2010/11/01 00:00:00",,,200,
HWPS2,"2010/10/27 00:00:00",1,2,1,200,,0,"2010/11/01 00:00:00",,,200,
HWPS3,"2010/10/27 00:00:00",1,3,1,200,,0,"2010/11/01 00:00:00",,,200,
HWPS4,"2010/10/27 00:00:00",1,4,1,200,,0,"2010/11/01 00:00:00",,,200,
HWPS5,"2010/10/27 00:00:00",1,5,1,200,,0,"2010/11/01 00:00:00",,,200,
HWPS6,"2010/10/27 00:00:00",1,6,1,200,,0,"2010/11/01 00:00:00",,,200,
HWPS7,"2010/10/27 00:00:00",1,7,1,200,,0,"2010/11/01 00:00:00",,,200,
HWPS8,"2010/10/27 00:00:00",1,8,1,200,,0,"2010/11/01 00:00:00",,,200,
ICSM,"2010/10/27 00:00:00",1,1,1,25,,0,"2010/11/01 00:00:00",,,25,
...

C,SETP.WORLD,DVD_GENUNITS_UNIT,AEMO,PUBLIC,2026/10/09,15:36:59,001791524219736,MONTHLY_ARCHIVE,001791524219736
I,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,GENSETID,EFFECTIVEDATE,VERSIONNO,UNIT_GROUPING_LABEL,UNIT_COUNT,UNIT_SIZE,UNIT_MAX_SIZE,AGGREGATION_FLAG,LASTCHANGED,UNITMINSIZE,MAXSTORAGECAPACITY,REGISTEREDCAPACITY,REGISTEREDMINCAPACITY
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HUMENSW1,"2010/10/27 00:00:00",1,1-2,2,29,,0,"2010/11/01 00:00:00",,,29,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HUMEV1,"2010/10/27 00:00:00",1,1-2,2,29,,0,"2010/11/01 00:00:00",,,29,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HWPS1,"2010/10/27 00:00:00",1,1,1,200,,0,"2010/11/01 00:00:00",,,200,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HWPS2,"2010/10/27 00:00:00",1,2,1,200,,0,"2010/11/01 00:00:00",,,200,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HWPS3,"2010/10/27 00:00:00",1,3,1,200,,0,"2010/11/01 00:00:00",,,200,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HWPS4,"2010/10/27 00:00:00",1,4,1,200,,0,"2010/11/01 00:00:00",,,200,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HWPS5,"2010/10/27 00:00:00",1,5,1,200,,0,"2010/11/01 00:00:00",,,200,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HWPS6,"2010/10/27 00:00:00",1,6,1,200,,0,"2010/11/01 00:00:00",,,200,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HWPS7,"2010/10/27 00:00:00",1,7,1,200,,0,"2010/11/01 00:00:00",,,200,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,HWPS8,"2010/10/27 00:00:00",1,8,1,200,,0,"2010/11/01 00:00:00",,,200,
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,ICSM,"2010/10/27 00:00:00",1,1,1,25,,0,"2010/11/01 00:00:00",,,25,
...
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 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 401 KB when zipped, 4 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

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 GENUNITS_UNIT 1
PARTICIPANT_REGISTRATION GENUNITS_UNIT 2

This means that the CSV files start with metadata columns:

I,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,1,...
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,1,...

or

I,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,...
D,PARTICIPANT_REGISTRATION,GENUNITS_UNIT,2,...

ROW_FILTER_TYPE is LASTCHANGED

Indexes

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