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BILLINGSMELTERREDUCTION

BILLINGSMELTERREDUCTION shows the smelter reduction payment (only applies to participants with Victorian customer connection points).

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

BILLINGSMELTERREDUCTION data is confidential to the relevant participant.

Source

BILLINGSMELTERREDUCTION is populated by the posting of a billing run where the participant has Victorian customer connectionpoints.

Volume

One record inserted per billing run, or 11 records inserted per week.

Column Schema

BILLRUNNO

Unique run no within a given contract year and week no

SQL Type: NUMBER(22,0) Polars Type: pl.UInt128

This column is mandatory, and a primary key.

CONTRACTYEAR

AEMO Contract Year number starting in week containing 1st January

SQL Type: NUMBER(22,0) Polars Type: pl.UInt128

This column is mandatory, and a primary key.

PARTICIPANTID

Unique participant identifier

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

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(22,0) Polars Type: pl.UInt128

This column is mandatory, and a primary key.

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: 2026/01/20 00:05:00

PCSD

Victorian Demand as defined by Code Chapter 9 definitions

SQL Type: NUMBER(15,6) Polars Type: pl.Float64

This column is not mandatory.

RA1

Payment

SQL Type: NUMBER(15,6) Polars Type: pl.Float64

This column is not mandatory.

RA2

Payment

SQL Type: NUMBER(15,6) Polars Type: pl.Float64

This column is not mandatory.

RATE1

Rate in $/MWh

SQL Type: NUMBER(15,6) Polars Type: pl.Float64

This column is not mandatory.

RATE2

Rate in $/MWh

SQL Type: NUMBER(15,6) Polars Type: pl.Float64

This column is not mandatory.

TE

Tabulated Energy

SQL Type: NUMBER(15,6) Polars Type: pl.Float64

This column is not mandatory.

New Data Timing

After posting a 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.UInt128
            "CONTRACTYEAR": int,  # or pl.UInt128
            "PARTICIPANTID": pl.Categorical,
            "WEEKNO": int,  # or pl.UInt128
            "PCSD": pl.Float64,
            "RA1": pl.Float64,
            "RA2": pl.Float64,
            "RATE1": pl.Float64,
            "RATE2": pl.Float64,
            "TE": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['BILLRUNNO', 'CONTRACTYEAR', 'PARTICIPANTID', 'WEEKNO']
    # Tie-breaker: greatest value of ['PARTICIPANTID']
    .sort(["PARTICIPANTID"], descending=False)
    .unique(
        subset=["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:

PDR Loader configuration does not mention this table, so it is unclear how to choose which row to keep when there are multiple rows for a given set of primary keys.

You should probably take the row with the maximum LASTCHANGED.

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: HISTORICAL TABLES