SET_ENERGY_GENSET_DETAIL

The Settlement Energy Genset report contains the Energy Transactions data for each generation meter point. This report is produced only for Settlement Date post the IESS rule effective date.

Column Schema

DUID

The DUID for the meter associated with the GensetId

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

GENSETID

The GensetId for the Meter Id received

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

This column is mandatory, and a primary key.

PERIODID

The Period ID Identifier

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

SETTLEMENTDATE

The Settlement Date of the Billing Week

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: 2026/01/20 00:05:00

STATIONID

The StationId identifier associated with the GensetId

For more information, see the dedicated documentation page.

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

This column is mandatory, and a primary key.

VERSIONNO

The Settlement Run No

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

This column is mandatory, and a primary key.

ACE_AMOUNT

The Adjusted Consumed Energy Dollar Amount

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

ACE_MWH

The Adjusted Consumed Energy for the Meter Id (CE_MWh + UFEA)

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

ASOE_AMOUNT

The Adjusted Sent Out Energy Dollar Amount

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

ASOE_MWH

The Adjusted Sent Out Energy for the Meter Id.

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

CE_MWH

The Consumed Energy for the Meter Id . Energy received in the meter reads (DLF Adjusted)

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

CONNECTIONPOINTID

The Connection Point associated with the DUID

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

This column is not mandatory.

DME_MWH

The DME MWh value that is used to calculate the UFEA Allocation Amount

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

LASTCHANGED

The Last changed Date time of the record

For more information, see the dedicated documentation page.

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

This column is not mandatory.

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

METERID

The Meter ID Identifier (NMI)

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

This column is not mandatory.

PARTICIPANTID

The Participant Id Identifier

For more information, see the dedicated documentation page.

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

This column is not mandatory.

REGIONID

The Region Id for the Connection Point associated with the DUID

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(20). This is actually a factor/enum, with values:

• QLD1

• VIC1

• TAS1

• NSW1

• SA1

• SNOWY1

This column is not mandatory.

RRP

The Regional Reference Price for the Settlement Period

For more information, see the dedicated documentation page.

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

TLF

The Transmission Loss Factor applied to the Connection Point Id. TLF is calculated based on the Net Flow at the TNI.

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

TOTAL_AMOUNT

The Total Amount for the Meter Id (ACE_Amount + ASOE_Amount)

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

TOTAL_MWH

The Total MWh for the Meter Id (ACE_MWh + ASOE_MWh)

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

UFEA_MWH

The UFEA allocation amount applied to the Meter Data

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

New Data Timing

Daily Billing Run & Posting a PRELIM/FINAL and REVISE Billing Run

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),
    )
    .cast(
        {
            "DUID": pl.Categorical,
            "GENSETID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "STATIONID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt16
            "ACE_AMOUNT": pl.Float64,
            "ACE_MWH": pl.Float64,
            "ASOE_AMOUNT": pl.Float64,
            "ASOE_MWH": pl.Float64,
            "CE_MWH": pl.Float64,
            "CONNECTIONPOINTID": pl.Categorical,
            "DME_MWH": pl.Float64,
            "METERID": pl.Categorical,
            "PARTICIPANTID": pl.Categorical,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "RRP": pl.Float64,
            "TLF": pl.Float64,
            "TOTAL_AMOUNT": pl.Float64,
            "TOTAL_MWH": pl.Float64,
            "UFEA_MWH": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['DUID', 'GENSETID', 'PERIODID', 'SETTLEMENTDATE', 'STATIONID', 'VERSIONNO']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(
        subset=[
            "DUID",
            "GENSETID",
            "PERIODID",
            "SETTLEMENTDATE",
            "STATIONID",
            "VERSIONNO",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Availability

Visibility: Private

This table is not available in the public monthly MMSDM archive. Is is only available to registered market participants over FTP inside a VPN.

Deduplication and PDR Loader Configuration

The primary keys are:

• DUID

• GENSETID

• PERIODID

• SETTLEMENTDATE

• STATIONID

• 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
SETTLEMENTS	ENERGY_GENSET_DETAIL	1

This means that the CSV files start with metadata columns:

I,SETTLEMENTS,ENERGY_GENSET_DETAIL,1,...
D,SETTLEMENTS,ENERGY_GENSET_DETAIL,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: SETTLEMENT_DATA

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