BILLING_ENERGY_GENSET_DETAIL

The Billing Energy Genset report contains the Genset Energy detail summary for the Billing Week data

Column Schema

BILLRUNNO

The Billing Run No

SQL Type: NUMBER(4,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

CONNECTIONPOINTID

The Connection Point associated with the DUID

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

This column is mandatory, and a primary key.

CONTRACTYEAR

The Billing Contract Year

SQL Type: NUMBER(4,0) Polars Type: pl.UInt16

This column is mandatory, and a primary key.

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.

METERID

The Meter ID Identifier (NMI)

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

PARTICIPANTID

The Participant Id Identifier

For more information, see the dedicated documentation page.

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

This column is mandatory, and a primary key.

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 mandatory, and a primary key.

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.

WEEKNO

The Billing Week No

Warning

There may be 53 weeks in a year, depending on how weeks align to the year start/end.

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 for that Connection Point for the Participant Id in that Billing Week

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

This column is not mandatory.

ACE_MWH

The Adjusted Consumed Energy MWh Consumed for that Connection Point for the Participant Id in that Billing Week

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

This column is not mandatory.

ASOE_AMOUNT

The Adjusted Sent Out Energy Dollar Amount for that Connection Point for the Participant Id in that Billing Week

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

This column is not mandatory.

ASOE_MWH

The Adjusted Sent Out Energy MWh Consumed for that Connection Point for the Participant Id in that Billing Week

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) in that Billing Week

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

This column is not mandatory.

DME_MWH

The DME MWh for that Connection Point for the Participant Id in that Billing Week. This is the MWh value that is used for the UFEA Allocation

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

This column is not mandatory.

LASTCHANGED

The Last changed date time for 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

TOTAL_AMOUNT

The Total Amount(ACE_Amount + ASOE_Amount) for that Connection Point for the Participant Id in that Billing Week

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

This column is not mandatory.

TOTAL_MWH

The Total MWh(ACE_MWh + ASOE_MWh) for that Connection Point for the Participant Id in that Billing Week

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

This column is not mandatory.

UFEA_MWH

The UFEA Energy MWh Consumed for that Connection Point for the Participant Id in that Billing Week

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

• BILLRUNNO

• CONNECTIONPOINTID

• CONTRACTYEAR

• DUID

• GENSETID

• METERID

• PARTICIPANTID

• REGIONID

• STATIONID

• WEEKNO

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
BILLING	ENERGY_GENSET_DETAIL	1

This means that the CSV files start with metadata columns:

I,BILLING,ENERGY_GENSET_DETAIL,1,...
D,BILLING,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: BILLING_RUN

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