SETRESTARTRECOVERY

SETRESTARTRECOVERY shows reimbursements for system restart Ancillary Services to be recovered from participants. (Data no longer created for Settlement Days from 01/07/2012)

SETRESTARTRECOVERY data is confidential to the relevant participant.

Source

SETRESTARTRECOVERY updates with each settlement run.

Column Schema

PARTICIPANTID

Participant to pay recovery

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.

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 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.

AVAILABILITYPAYMENT

Availability Payment

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

This column is not mandatory.

AVAILABILITYRECOVERY

Availability Recovery

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

This column is not mandatory.

AVAILABILITYRECOVERY_GEN

Availability Recovery for Generator

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

This column is not mandatory.

CONTRACTID

Contract Identifier

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

This column is not mandatory.

ENABLINGPAYMENT

The enabling payment made for system restart in this half-hour interval

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

ENABLINGRECOVERY

The enabling recovery amount for system restart in this half-hour interval attributable to customer activity

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

ENABLINGRECOVERY_GEN

The enabling recovery amount for system restart in this half-hour interval attributable to generator activity

SQL Type: NUMBER(18,8) 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

PARTICIPANTDEMAND

Participant Demand in Region

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

This column is not mandatory.

PARTICIPANTDEMAND_GEN

Participant Demand in Region for Generator

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

This column is not mandatory.

REGIONDEMAND

NEM Demand (NB sum of ALL Regions)

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

This column is not mandatory.

REGIONDEMAND_GEN

Sum of all generation including SGA generation across all regions of the NEM and floored to zero

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").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "PARTICIPANTID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "VERSIONNO": int,  # or pl.UInt16
            "AVAILABILITYPAYMENT": pl.Float64,
            "AVAILABILITYRECOVERY": pl.Float64,
            "AVAILABILITYRECOVERY_GEN": pl.Float64,
            "CONTRACTID": pl.Categorical,
            "ENABLINGPAYMENT": pl.Float64,
            "ENABLINGRECOVERY": pl.Float64,
            "ENABLINGRECOVERY_GEN": pl.Float64,
            "PARTICIPANTDEMAND": pl.Float64,
            "PARTICIPANTDEMAND_GEN": pl.Float64,
            "REGIONDEMAND": pl.Float64,
            "REGIONDEMAND_GEN": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['PARTICIPANTID', 'PERIODID', 'REGIONID', 'SETTLEMENTDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["PARTICIPANTID", "PERIODID", "REGIONID", "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:

• PARTICIPANTID

• PERIODID

• REGIONID

• SETTLEMENTDATE

• VERSIONNO

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

• 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: SETTLEMENT_DATA

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