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BILLINGDAYTRK

BILLINGDAYTRK is key for matching settlement versions with billing runs. BILLINGDAYTRK displays the billrunnos per billing week, and the settlement version numbers per settlement day comprising the billrunno.

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

Source

BILLINGDAYTRK is populated by the posting of a billing run, being several times each week.

Volume

Each billing run inserts approximately 7 records, being about 77 records per week.

Column Schema

BILLRUNNO

Unique run no within a given contract year and week no

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

This column is mandatory, and a primary key.

Examples: 8, 996

CONTRACTYEAR

AEMO Contract Year number starting in week containing 1st January

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

This column is mandatory, and a primary key.

Example: 2026

SETTLEMENTDATE

Calendar Settlement Date contained in the billing run.

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

This column is mandatory, and a primary key.

Example: 2026/02/01 00:00:00

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

WEEKNO

Week no within the contract year. Week no 1 is the week containing 1st January

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.

Examples: 6, 40

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: 2026/08/24 09:31:10

RUNNO

Settlement run number used for each settlement date in that billing run.

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

This column is not mandatory.

Examples: 1, 11

New Data Timing

After posting of a billing run (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"

# 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("SETTLEMENTDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "BILLRUNNO": int,  # or pl.UInt16
            "CONTRACTYEAR": int,  # or pl.UInt16
            "SETTLEMENTDATE": pl.Date(),
            "WEEKNO": int,  # or pl.UInt16
            "RUNNO": int,  # or pl.UInt16
        }
    )
    # Deduplicate
    # We want one row per ['BILLRUNNO', 'CONTRACTYEAR', 'SETTLEMENTDATE', 'WEEKNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["BILLRUNNO", "CONTRACTYEAR", "SETTLEMENTDATE", "WEEKNO"], keep="last"
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_BILLINGDAYTRK_FILE01_202609010000.zip

CONTRACTYEARWEEKNOBILLRUNNOSETTLEMENTDATERUNNOLASTCHANGED
2026369912026/08/31 00:00:0012026/09/01 01:23:00
202616142026/04/12 00:00:00102026/08/27 07:53:39
202616142026/04/13 00:00:00102026/08/27 07:53:39
202616142026/04/14 00:00:00102026/08/27 07:53:39
202616142026/04/15 00:00:00102026/08/27 07:53:39
202616142026/04/16 00:00:0092026/08/27 07:53:39
202616142026/04/17 00:00:0082026/08/27 07:53:39
202616142026/04/18 00:00:0072026/08/27 07:53:39
2026369922026/09/01 00:00:0012026/09/02 01:25:50
20263592026/08/23 00:00:0072026/09/02 09:06:59
20263592026/08/24 00:00:0072026/09/02 09:06:59
...

CSETP.WORLDDVD_BILLINGDAYTRKAEMOPUBLIC2026/10/0915:24:53001791523493881MONTHLY_ARCHIVE001791523493881
IBILLINGDAYTRK5CONTRACTYEARWEEKNOBILLRUNNOSETTLEMENTDATERUNNOLASTCHANGED
DBILLINGDAYTRK52026369912026/08/31 00:00:0012026/09/01 01:23:00
DBILLINGDAYTRK5202616142026/04/12 00:00:00102026/08/27 07:53:39
DBILLINGDAYTRK5202616142026/04/13 00:00:00102026/08/27 07:53:39
DBILLINGDAYTRK5202616142026/04/14 00:00:00102026/08/27 07:53:39
DBILLINGDAYTRK5202616142026/04/15 00:00:00102026/08/27 07:53:39
DBILLINGDAYTRK5202616142026/04/16 00:00:0092026/08/27 07:53:39
DBILLINGDAYTRK5202616142026/04/17 00:00:0082026/08/27 07:53:39
DBILLINGDAYTRK5202616142026/04/18 00:00:0072026/08/27 07:53:39
DBILLINGDAYTRK52026369922026/09/01 00:00:0012026/09/02 01:25:50
DBILLINGDAYTRK520263592026/08/23 00:00:0072026/09/02 09:06:59
DBILLINGDAYTRK520263592026/08/24 00:00:0072026/09/02 09:06:59
...
CEND OF REPORT194

CONTRACTYEAR,WEEKNO,BILLRUNNO,SETTLEMENTDATE,RUNNO,LASTCHANGED
2026,36,991,"2026/08/31 00:00:00",1,"2026/09/01 01:23:00"
2026,16,14,"2026/04/12 00:00:00",10,"2026/08/27 07:53:39"
2026,16,14,"2026/04/13 00:00:00",10,"2026/08/27 07:53:39"
2026,16,14,"2026/04/14 00:00:00",10,"2026/08/27 07:53:39"
2026,16,14,"2026/04/15 00:00:00",10,"2026/08/27 07:53:39"
2026,16,14,"2026/04/16 00:00:00",9,"2026/08/27 07:53:39"
2026,16,14,"2026/04/17 00:00:00",8,"2026/08/27 07:53:39"
2026,16,14,"2026/04/18 00:00:00",7,"2026/08/27 07:53:39"
2026,36,992,"2026/09/01 00:00:00",1,"2026/09/02 01:25:50"
2026,35,9,"2026/08/23 00:00:00",7,"2026/09/02 09:06:59"
2026,35,9,"2026/08/24 00:00:00",7,"2026/09/02 09:06:59"
...

C,SETP.WORLD,DVD_BILLINGDAYTRK,AEMO,PUBLIC,2026/10/09,15:24:53,001791523493881,MONTHLY_ARCHIVE,001791523493881
I,BILLING,DAYTRK,5,CONTRACTYEAR,WEEKNO,BILLRUNNO,SETTLEMENTDATE,RUNNO,LASTCHANGED
D,BILLING,DAYTRK,5,2026,36,991,"2026/08/31 00:00:00",1,"2026/09/01 01:23:00"
D,BILLING,DAYTRK,5,2026,16,14,"2026/04/12 00:00:00",10,"2026/08/27 07:53:39"
D,BILLING,DAYTRK,5,2026,16,14,"2026/04/13 00:00:00",10,"2026/08/27 07:53:39"
D,BILLING,DAYTRK,5,2026,16,14,"2026/04/14 00:00:00",10,"2026/08/27 07:53:39"
D,BILLING,DAYTRK,5,2026,16,14,"2026/04/15 00:00:00",10,"2026/08/27 07:53:39"
D,BILLING,DAYTRK,5,2026,16,14,"2026/04/16 00:00:00",9,"2026/08/27 07:53:39"
D,BILLING,DAYTRK,5,2026,16,14,"2026/04/17 00:00:00",8,"2026/08/27 07:53:39"
D,BILLING,DAYTRK,5,2026,16,14,"2026/04/18 00:00:00",7,"2026/08/27 07:53:39"
D,BILLING,DAYTRK,5,2026,36,992,"2026/09/01 00:00:00",1,"2026/09/02 01:25:50"
D,BILLING,DAYTRK,5,2026,35,9,"2026/08/23 00:00:00",7,"2026/09/02 09:06:59"
D,BILLING,DAYTRK,5,2026,35,9,"2026/08/24 00:00:00",7,"2026/09/02 09:06:59"
...
C,"END OF REPORT",194

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 21 KB when zipped, 209 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

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 DAYTRK 5

This means that the CSV files start with metadata columns:

I,BILLING,DAYTRK,5,...
D,BILLING,DAYTRK,5,...

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: BILLING_RUN