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BILLINGPRIORADJUSTMENTS

BILLINGPRIORADJUSTMENTS sets out prior period adjustments and associated interest inserted in subsequent Final Statements arising from Revision Statement postings.

BILLINGPRIORADJUSTMENTS data is confidential to the relevant participant.

Source

BILLINGPRIORADJUSTMENTS is populated on the posting of a Final billing run only.

Volume

Approximately two records inserted per week.

Note

Actual adjustment payable is ADJAMOUNT - PERAMOUNT + INTEREST AMOUNT.

Column Schema

ADJBILLRUNNO

Bill run number of the posted revision statement inserted to the Final Statement

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

This column is mandatory, and a primary key.

ADJCONTRACTYEAR

ContractYear of the posted revision statement inserted to the Final Statement

SQL Type: NUMBER(4,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

ADJWEEKNO

WeekNo of the posted revision statement inserted to the Final Statement

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

This column is mandatory, and a primary key.

BILLRUNNO

Billing run number.

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

This column is mandatory, and a primary key.

CONTRACTYEAR

Settlement year.

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

This column is mandatory, and a primary key.

PARTICIPANTID

Participant ID

For more information, see the dedicated documentation page.

SQL Type: VARCHAR2(10) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

WEEKNO

Settlement 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.

ADJAMOUNT

Adjusted amount.

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

This column is not mandatory.

INTERESTAMOUNT

Interest amount.

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

This column is not mandatory.

IRN

Interest rate applied to the revision adjustment

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

This column is not mandatory.

LASTCHANGED

Last changed.

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

PREVAMOUNT

Statement total of the previous posted revision statement inserted to the Final Statement.

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

This column is not mandatory.

IRP

unused; always null

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

This column is unused.

IRSR_ADJAMOUNT

unused; always null

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

This column is unused.

IRSR_INTERESTAMOUNT

unused; always null

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

This column is unused.

IRSR_PREVAMOUNT

unused; always null

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

This column is unused.

New Data Timing

After posting of a final 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(
        {
            "ADJBILLRUNNO": int,  # or pl.Int16
            "ADJCONTRACTYEAR": int,  # or pl.Int16
            "ADJWEEKNO": int,  # or pl.Int16
            "BILLRUNNO": int,  # or pl.UInt16
            "CONTRACTYEAR": int,  # or pl.UInt16
            "PARTICIPANTID": pl.Categorical,
            "WEEKNO": int,  # or pl.UInt16
            "ADJAMOUNT": pl.Float64,
            "INTERESTAMOUNT": pl.Float64,
            "IRN": pl.Float64,
            "PREVAMOUNT": pl.Float64,
            "IRP": pl.Float64,
            "IRSR_ADJAMOUNT": pl.Float64,
            "IRSR_INTERESTAMOUNT": pl.Float64,
            "IRSR_PREVAMOUNT": pl.Float64,
        }
    )
    # Drop deprecated/unused columns
    .drop("IRP", "IRSR_ADJAMOUNT", "IRSR_INTERESTAMOUNT", "IRSR_PREVAMOUNT")
    # Deduplicate
    # We want one row per ['ADJBILLRUNNO', 'ADJCONTRACTYEAR', 'ADJWEEKNO', 'BILLRUNNO', 'CONTRACTYEAR', 'PARTICIPANTID', 'WEEKNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "ADJBILLRUNNO",
            "ADJCONTRACTYEAR",
            "ADJWEEKNO",
            "BILLRUNNO",
            "CONTRACTYEAR",
            "PARTICIPANTID",
            "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:

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 PRIORADJUSTMENTS 5

This means that the CSV files start with metadata columns:

I,BILLING,PRIORADJUSTMENTS,5,...
D,BILLING,PRIORADJUSTMENTS,5,...

Indexes

There is more than one index.

Index 1:

Index 2:

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