BILLING_DAILY_ENERGY_SUMMARY

Billing result table containing daily summary data for customer and generator energy amounts

BILLING_DAILY_ENERGY_SUMMARY data is confidential to the relevant participant.

Source

Populated by the posting of a billing run.

Volume

Approximately 20 records per billrunno.

Column Schema

BILLRUNNO

Billing Run number

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

This column is mandatory, and a primary key.

CONTRACTYEAR

Billing Contract Year

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

This column is mandatory, and a primary key.

PARTICIPANTID

participant 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

Unique Region Identifier

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.

SETTLEMENTDATE

settlement date

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

WEEKNO

Billing Week number

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 Sum of ACE Amount for the Participant and region for the Settlement Date. NULL for Billing Week prior to the IESS rule effective date

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

This column is not mandatory.

ACE_MWH

The Sum of ACE MWh value for the Participant and region for the Settlement Date. NULL for Billing Week prior to the IESS rule effective date

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

This column is not mandatory.

ASOE_AMOUNT

The Sum of ASOE Amount for the Participant and region for the Settlement Date. NULL for Billing Week prior to the IESS rule effective date

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

This column is not mandatory.

ASOE_MWH

The Sum of ASOE MWh value for the Participant and region for the Settlement Date. NULL for Billing Week prior to the IESS rule effective date

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

This column is not mandatory.

CE_MWH

The Sum of CE MWh value for the Participant and region for the Settlement Date. NULL for Billing Week prior to the IESS rule effective date

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

This column is not mandatory.

CUSTOMER_ENERGY_PURCHASED

Customer energy amount purchased on this settlement day by the participant in the region. NULL for Billing Week post the IESS rule effective date.

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

This column is not mandatory.

GENERATOR_ENERGY_PURCHASED

Generator energy amount purchased on this settlement day by the participant in the region. NULL for Billing Week post the IESS rule effective date.

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

This column is not mandatory.

GENERATOR_ENERGY_SOLD

Generator energy amount sold on this settlement day by the participant in the region. NULL for Billing Week post the IESS rule effective date.

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

This column is not mandatory.

TOTAL_AMOUNT

The Sum of Total Amount for the Participant and region for the Settlement Date. NULL for Billing Week prior to the IESS rule effective date

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

This column is not mandatory.

TOTAL_MWH

The Sum of Total MWh value for the Participant and region for the Settlement Date. NULL for Billing Week prior to the IESS rule effective date

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

This column is not mandatory.

UFEA_MWH

The Sum of UFEA MWh value for the Participant and region for the Settlement Date. NULL for Billing Week prior to the IESS rule effective date

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

This column is not mandatory.

New Data Timing

Populated by the posting of a billing run, being several times each week

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").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "BILLRUNNO": int,  # or pl.UInt16
            "CONTRACTYEAR": int,  # or pl.UInt16
            "PARTICIPANTID": pl.Categorical,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "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,
            "CUSTOMER_ENERGY_PURCHASED": pl.Float64,
            "GENERATOR_ENERGY_PURCHASED": pl.Float64,
            "GENERATOR_ENERGY_SOLD": pl.Float64,
            "TOTAL_AMOUNT": pl.Float64,
            "TOTAL_MWH": pl.Float64,
            "UFEA_MWH": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['BILLRUNNO', 'CONTRACTYEAR', 'PARTICIPANTID', 'REGIONID', 'SETTLEMENTDATE', 'WEEKNO']
    .unique(
        subset=[
            "BILLRUNNO",
            "CONTRACTYEAR",
            "PARTICIPANTID",
            "REGIONID",
            "SETTLEMENTDATE",
            "WEEKNO",
        ],
        keep="any",
    )
)

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

• CONTRACTYEAR

• PARTICIPANTID

• REGIONID

• SETTLEMENTDATE

• 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	DAILY_ENERGY_SUMMARY	2

This means that the CSV files start with metadata columns:

I,BILLING,DAILY_ENERGY_SUMMARY,2,...
D,BILLING,DAILY_ENERGY_SUMMARY,2,...

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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