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OFFERRPOWERDATA

OFFERRPOWERDATA shows reoffers of reactive power capability and settlement measurements. This Table may also be used for NSCAS and Type 1 transitional services procured by AEMO under the ISF framework during 2025 and prior to the implementation of all system changes. During this time descriptions in these tables may not be correct.

OFFERRPOWERDATA data is confidential to the relevant participant.

Source

OFFERRPOWERDATA updates as reoffers process.

Column Schema

CONTRACTID

Contract Version No.

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

This column is mandatory, and a primary key.

EFFECTIVEDATE

Contract Version No.

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

PERIODID

Market trading interval

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

This column is mandatory, and a primary key.

VERSIONNO

Version No. of Re-Offer

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

This column is mandatory, and a primary key.

AUTHORISEDBY

User Name

SQL Type: VARCHAR2(15) Polars Type: str

This column is not mandatory.

AUTHORISEDDATE

Date Contract was Authorised

Warning

Despite what the name suggests, this is a datetime, not a date.

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

This column is not mandatory.

Example: 2026/01/20 00:05:00

AVAILABILITY

Availability of service

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

This column is not mandatory.

FILENAME

File name of Re-Offer file

SQL Type: VARCHAR2(40) Polars Type: str

This column is not mandatory.

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

MTA

Reactive Power Absorption Capability (MVar)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MTG

Reactive Power Generation Capability (MVar)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

New Data Timing

On reactive power capability and settlement measurements reoffers submission

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("EFFECTIVEDATE", "AUTHORISEDDATE", "LASTCHANGED").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
    )
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "VERSIONNO": int,  # or pl.UInt16
            "AUTHORISEDBY": str,
            "AVAILABILITY": int,  # or pl.Int16
            "FILENAME": str,
            "MTA": int,  # or pl.Int32
            "MTG": int,  # or pl.Int32
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTID', 'EFFECTIVEDATE', 'PERIODID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["CONTRACTID", "EFFECTIVEDATE", "PERIODID", "VERSIONNO"], 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
ASOFFER OFFERRPOWERDATA 1

This means that the CSV files start with metadata columns:

I,ASOFFER,OFFERRPOWERDATA,1,...
D,ASOFFER,OFFERRPOWERDATA,1,...

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: ASOFFER