SETLSHEDPAYMENT

SETLSHEDPAYMENT shows specific payment details for load shed services by period. 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.

SETLSHEDPAYMENT data is confidential to the relevant participant.

Source

SETLSHEDPAYMENT updates with each settlement run.

Column Schema

CONTRACTID

AS Contract Identifier

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

This column is mandatory, and a primary key.

PARTICIPANTID

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.

PERIODID

Settlements Trading Interval.

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

This column is mandatory, and a primary key.

SETTLEMENTDATE

Settlement Date

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

VERSIONNO

Settlement Run No.

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

This column is mandatory, and a primary key.

ALS

Amount of load shed

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

This column is not mandatory.

AVAILABILITYPAYMENT

Payment amount for the Load Shed Availability service

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

CCPAYMENT

Compensation Payment

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

This column is not mandatory.

CONSTRAINEDMW

Cleared MW of unit at time of load shed usage

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

This column is not mandatory.

CONTRACTVERSIONNO

AS Contract Version No.

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

This column is not mandatory.

DUID

Dispatchable Unit Identifier

Warning

This column may contain funny characters such as / (slash) or # (hash). This may break hive-style partitioning.

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: W/HOE#2

FINALDEMAND

Final demand of unit at time of load shed usage

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

This column is not mandatory.

INITIALDEMAND

Initial demand of unit at time of load shed usage

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

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

LSCR

Load Shed Control Range

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

This column is not mandatory.

LSEPAYMENT

Load Shed Enabling Payment

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

This column is not mandatory.

LSEPRICE

Load Shed Enabling Price

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

This column is not mandatory.

MCPPRICE

Minimum Compensation Price

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

This column is not mandatory.

OFFERDATE

Re-offer offer date

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

OFFERVERSIONNO

Re-Offer Version No.

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

This column is not mandatory.

REGIONID

Region Identifier

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

• QLD1

• VIC1

• TAS1

• NSW1

• SA1

• SNOWY1

This column is not mandatory.

RRP

Regional Reference Price

For more information, see the dedicated documentation page.

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

This column is not mandatory.

TLF

Transmission Loss Factor

SQL Type: NUMBER(7,5) Polars Type: pl.Float64

This column is not mandatory.

UNCONSTRAINEDMW

Unconstrained MW of unit at time of load shed usage

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

This column is not mandatory.

New Data Timing

After each settlement 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("SETTLEMENTDATE", "LASTCHANGED", "OFFERDATE").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
    )
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "PARTICIPANTID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "VERSIONNO": int,  # or pl.UInt16
            "ALS": pl.Float64,
            "AVAILABILITYPAYMENT": pl.Float64,
            "CCPAYMENT": pl.Float64,
            "CONSTRAINEDMW": pl.Float64,
            "CONTRACTVERSIONNO": int,  # or pl.UInt16
            "DUID": pl.Categorical,
            "FINALDEMAND": pl.Float64,
            "INITIALDEMAND": pl.Float64,
            "LSCR": int,  # or pl.Int16
            "LSEPAYMENT": pl.Float64,
            "LSEPRICE": pl.Float64,
            "MCPPRICE": pl.Float64,
            "OFFERVERSIONNO": int,  # or pl.UInt16
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "RRP": pl.Float64,
            "TLF": pl.Float64,
            "UNCONSTRAINEDMW": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTID', 'PARTICIPANTID', 'PERIODID', 'SETTLEMENTDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "CONTRACTID",
            "PARTICIPANTID",
            "PERIODID",
            "SETTLEMENTDATE",
            "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:

• CONTRACTID

• PARTICIPANTID

• PERIODID

• SETTLEMENTDATE

• VERSIONNO

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
SETTLEMENTS	LSHEDPAYMENT	5

This means that the CSV files start with metadata columns:

I,SETTLEMENTS,LSHEDPAYMENT,5,...
D,SETTLEMENTS,LSHEDPAYMENT,5,...

Indexes

There is more than one index.

Index 1:

• LASTCHANGED

Index 2:

• PARTICIPANTID

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: SETTLEMENT_DATA

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