SET_NMAS_RECOVERY_RBF

SET_NMAS_RECOVERY_RBF publishes the RBF for NSCAS non testing payments on a half hourly basis. 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.

Column Schema

CONTRACTID

The NMAS/ISF Contract Id

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

• #85JD#9&4K
• %00BNU%TA@
• 8CU$RB4TPY
• 9W5K7VED1J
• @E7848PJX3
• @KX44U1LW2
• @T#KLMM#AG
• GS0BD5R&S0
• HZCHJFJ67Z
• NXQ53L#5GB

PAYMENTTYPE

The type of payment being recovered. Valid values are: - AVAILABILITY - ENABLEMENT - COMPENSATION

The SQL type is VARCHAR(20). This is actually a factor/enum, with values:

• AVAILABILITY

• ENABLEMENT

• COMPENSATION

• ENABLING

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.

Examples: 1, 19

REGIONID

The region from where the amount is recovered

For more information, see the dedicated documentation page.

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

• QLD1

• VIC1

• TAS1

• NSW1

• SA1

• SNOWY1

This column is mandatory, and a primary key.

SERVICE

The type of NSCAS service incl ISF Services. Current value values are: - REACTIVE - LOADSHED - RESTART - INERTIA, SYSTEM STRENGTH, TYPE1, TYPE2

The SQL type is VARCHAR2(20). This is actually a factor/enum, with values:

• REACTIVE

• LOADSHED

• RESTART

• INERTIA

• SYSTEM STRENGTH

• TYPE1

• TYPE2

This column is mandatory, and a primary key.

SETTLEMENTDATE

Settlement Date

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

This column is mandatory, and a primary key.

Example: 2026/08/31 00:00:00

Note that AEMO represents dates as datetimes with a midnight time component.

VERSIONNO

Settlement run number

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

This column is mandatory, and a primary key.

Example: 1

LASTCHANGED

The Last Updated date and time

For more information, see the dedicated documentation page.

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

This column is not mandatory.

Example: 2026/09/01 01:12:12

PAYMENT_AMOUNT

The total Payment Amount to recover from all benefitting regions

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

This column is not mandatory.

Examples: 10.38, 97.31

RBF

The Benefitting Factor for the RegionId

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

This column is not mandatory.

Examples: 0, 1

RECOVERY_AMOUNT

The Total recovery amount for the period for the REGIONID

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

This column is not mandatory.

Examples: -10.37999905, 0, -97.30999893

New Data Timing

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"

# Dates are represented as datetimes at midnight

d_fmt = "%Y/%m/%d 00:00:00"

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),
        pl.col("SETTLEMENTDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "CONTRACTID": pl.Categorical,
            "PAYMENTTYPE": pl.Enum(
                ["AVAILABILITY", "ENABLEMENT", "COMPENSATION", "ENABLING"]
            ),
            "PERIODID": int,  # or pl.Int16
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "SERVICE": pl.Enum(
                [
                    "REACTIVE",
                    "LOADSHED",
                    "RESTART",
                    "INERTIA",
                    "SYSTEM STRENGTH",
                    "TYPE1",
                    "TYPE2",
                ]
            ),
            "SETTLEMENTDATE": pl.Date(),
            "VERSIONNO": int,  # or pl.UInt16
            "PAYMENT_AMOUNT": pl.Float64,
            "RBF": pl.Float64,
            "RECOVERY_AMOUNT": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['CONTRACTID', 'PAYMENTTYPE', 'PERIODID', 'REGIONID', 'SERVICE', 'SETTLEMENTDATE', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "CONTRACTID",
            "PAYMENTTYPE",
            "PERIODID",
            "REGIONID",
            "SERVICE",
            "SETTLEMENTDATE",
            "VERSIONNO",
        ],
        keep="last",
    )
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_SET_NMAS_RECOVERY_RBF_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

SETTLEMENTDATE	VERSIONNO	PERIODID	SERVICE	CONTRACTID	PAYMENTTYPE	REGIONID	RBF	PAYMENT_AMOUNT	RECOVERY_AMOUNT	LASTCHANGED
2026/08/31 00:00:00	1	1	RESTART	#85JD#9&4K	AVAILABILITY	NSW1	0	37.01166666	0	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	#85JD#9&4K	AVAILABILITY	QLD1	1	37.01166666	-37.01166573	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	#85JD#9&4K	AVAILABILITY	SA1	0	37.01166666	0	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	#85JD#9&4K	AVAILABILITY	TAS1	0	37.01166666	0	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	#85JD#9&4K	AVAILABILITY	VIC1	0	37.01166666	0	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	%00BNU%TA@	AVAILABILITY	NSW1	0	34.99833333	0	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	%00BNU%TA@	AVAILABILITY	QLD1	0	34.99833333	0	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	%00BNU%TA@	AVAILABILITY	SA1	0	34.99833333	0	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	%00BNU%TA@	AVAILABILITY	TAS1	1	34.99833333	-34.99833315	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	%00BNU%TA@	AVAILABILITY	VIC1	0	34.99833333	0	2026/09/01 01:12:12
2026/08/31 00:00:00	1	1	RESTART	8CU$RB4TPY	AVAILABILITY	NSW1	0	38.19666666	0	2026/09/01 01:12:12
...

C

SETP.WORLD

DVD_SET_NMAS_RECOVERY_RBF

AEMO

PUBLIC

2026/10/09

16:31:01

001791527461310

MONTHLY_ARCHIVE

001791527461310

I

SETTLEMENTS

NMAS_RECOVERY_RBF

1

SETTLEMENTDATE

VERSIONNO

PERIODID

SERVICE

CONTRACTID

PAYMENTTYPE

REGIONID

RBF

PAYMENT_AMOUNT

RECOVERY_AMOUNT

LASTCHANGED

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

#85JD#9&4K

AVAILABILITY

NSW1

0

37.01166666

0

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

#85JD#9&4K

AVAILABILITY

QLD1

1

37.01166666

-37.01166573

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

#85JD#9&4K

AVAILABILITY

SA1

0

37.01166666

0

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

#85JD#9&4K

AVAILABILITY

TAS1

0

37.01166666

0

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

#85JD#9&4K

AVAILABILITY

VIC1

0

37.01166666

0

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

%00BNU%TA@

AVAILABILITY

NSW1

0

34.99833333

0

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

%00BNU%TA@

AVAILABILITY

QLD1

0

34.99833333

0

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

%00BNU%TA@

AVAILABILITY

SA1

0

34.99833333

0

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

%00BNU%TA@

AVAILABILITY

TAS1

1

34.99833333

-34.99833315

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

%00BNU%TA@

AVAILABILITY

VIC1

0

34.99833333

0

2026/09/01 01:12:12

D

SETTLEMENTS

NMAS_RECOVERY_RBF

1

2026/08/31 00:00:00

1

1

RESTART

8CU$RB4TPY

AVAILABILITY

NSW1

0

38.19666666

0

2026/09/01 01:12:12

...

C

END OF REPORT

1003

SETTLEMENTDATE,VERSIONNO,PERIODID,SERVICE,CONTRACTID,PAYMENTTYPE,REGIONID,RBF,PAYMENT_AMOUNT,RECOVERY_AMOUNT,LASTCHANGED
"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,NSW1,0,37.01166666,0,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,QLD1,1,37.01166666,-37.01166573,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,SA1,0,37.01166666,0,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,TAS1,0,37.01166666,0,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,VIC1,0,37.01166666,0,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,NSW1,0,34.99833333,0,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,QLD1,0,34.99833333,0,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,SA1,0,34.99833333,0,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,TAS1,1,34.99833333,-34.99833315,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,VIC1,0,34.99833333,0,"2026/09/01 01:12:12"
"2026/08/31 00:00:00",1,1,RESTART,8CU$RB4TPY,AVAILABILITY,NSW1,0,38.19666666,0,"2026/09/01 01:12:12"
...

Raw Text with Metadata

C,SETP.WORLD,DVD_SET_NMAS_RECOVERY_RBF,AEMO,PUBLIC,2026/10/09,16:31:01,001791527461310,MONTHLY_ARCHIVE,001791527461310
I,SETTLEMENTS,NMAS_RECOVERY_RBF,1,SETTLEMENTDATE,VERSIONNO,PERIODID,SERVICE,CONTRACTID,PAYMENTTYPE,REGIONID,RBF,PAYMENT_AMOUNT,RECOVERY_AMOUNT,LASTCHANGED
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,NSW1,0,37.01166666,0,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,QLD1,1,37.01166666,-37.01166573,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,SA1,0,37.01166666,0,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,TAS1,0,37.01166666,0,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,#85JD#9&4K,AVAILABILITY,VIC1,0,37.01166666,0,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,NSW1,0,34.99833333,0,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,QLD1,0,34.99833333,0,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,SA1,0,34.99833333,0,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,TAS1,1,34.99833333,-34.99833315,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,%00BNU%TA@,AVAILABILITY,VIC1,0,34.99833333,0,"2026/09/01 01:12:12"
D,SETTLEMENTS,NMAS_RECOVERY_RBF,1,"2026/08/31 00:00:00",1,1,RESTART,8CU$RB4TPY,AVAILABILITY,NSW1,0,38.19666666,0,"2026/09/01 01:12:12"
...
C,"END OF REPORT",1003

Availability

Visibility: Public

This table is in the public monthly MMSDM archive.

I have collated the list of all those files into one place, in this CSV metadata file. (Columns year, month, url, compressed_size in bytes).

The earliest available data is month 8 of 2024. The most recent available data is month 9 of 2026.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 252 MB when zipped, 3 GB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

• CONTRACTID

• PAYMENTTYPE

• PERIODID

• REGIONID

• SERVICE

• 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	NMAS_RECOVERY_RBF	1

This means that the CSV files start with metadata columns:

I,SETTLEMENTS,NMAS_RECOVERY_RBF,1,...
D,SETTLEMENTS,NMAS_RECOVERY_RBF,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: SETTLEMENT_DATA

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