RESIDUE_CON_ESTIMATES_TRK

RESIDUE_CON_ESTIMATES_TRK supports the Settlement Residue Auction, by holding the tracking details of the estimates used to generate the reserve price for each contract.

Source

RESIDUE_CON_ESTIMATES_TRK updates are quarterly by SRA team.

Volume

Assuming monthly contracts, RESIDUE_CON_ESTIMATES_TRK shows a maximum of 50 records per year.

Column Schema

CONTRACTID

SRA Contract unique identifier

SQL Type: VARCHAR2(30) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

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.

QUARTER

Contract Quarter

SQL Type: NUMBER(1,0) Polars Type: pl.UInt8

This column is mandatory, and a primary key.

VALUATIONID

Identifier of the estimator

SQL Type: VARCHAR2(15) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

LASTCHANGED

Date and time this record was 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

VERSIONNO

Version of a record, as nominated by the participant

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

This column is not mandatory.

New Data Timing

Updated quarterly

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(
        {
            "CONTRACTID": pl.Categorical,
            "CONTRACTYEAR": int,  # or pl.UInt16
            "QUARTER": int,  # or pl.UInt8
            "VALUATIONID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt16
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTID', 'CONTRACTYEAR', 'QUARTER', 'VALUATIONID']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["CONTRACTID", "CONTRACTYEAR", "QUARTER", "VALUATIONID"], keep="last"
    )
)

Nemosis

This table is not yet available in Nemosis.

Availability

AEMO's documentation states that this table's visibility is "Public". However, it is not available in the public monthly MMSDM archive. AEMO probably call this public because it is available to all market participants over private FTP.

There is a chance that is is still public to non-participants. It may only be available for some months; or (rarely) it may be available in a non-standard location.

Deduplication and PDR Loader Configuration

The primary keys are:

• CONTRACTID

• CONTRACTYEAR

• QUARTER

• VALUATIONID

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
IRAUCTION	RESIDUE_CON_ESTIMATES_TRK	1

This means that the CSV files start with metadata columns:

I,IRAUCTION,RESIDUE_CON_ESTIMATES_TRK,1,...
D,IRAUCTION,RESIDUE_CON_ESTIMATES_TRK,1,...

Indexes

• LASTCHANGED

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: IRAUCTION

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