SET_NMAS_RECOVERY
SET_NMAS_RECOVERY sets out the NSCAS recovery data for payments other than testing 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.
PARTICIPANTID
The Participant from whom the amount is recovered
For more information, see the dedicated documentation page.
SQL Type: VARCHAR(20)
Polars Type: pl.Categorical
This column is mandatory, and a primary key.
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
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
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
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 number
SQL Type: NUMBER(3,0)
Polars Type: pl.UInt16
This column is mandatory, and a primary key.
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: 2026/01/20 00:05:00
PARTICIPANT_ACE_MWH
The ACE MWh value for the Participant used in the Recovery Amount Calculation. NULL Value for Settlement Dates prior to the IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
PARTICIPANT_ASOE_MWH
The ASOE MWh value for the Participant used in the Recovery Amount Calculation. NULL Value for Settlement Dates prior to the IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
PARTICIPANT_ENERGY
The Participant energy in MWh for the period. NULL Value for Settlement Dates post IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
PARTICIPANT_GENERATION
Participant Generator Energy in the benefitting region. NULL Value for Settlement Dates post IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
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.
RBF
The Benefitting Factor for the RegionId
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
RECOVERY_AMOUNT
The Total recovery amount for the period for the PARTICIPANTID and REGIONID. For Settlement dates prior to the IESS rule effective date Sum of RECOVERY_AMOUNT_CUSTOMER + RECOVERY_AMOUNT_GENERATOR and Post IESS it is sum of RECOVERYAMOUNT_ACE + RECOVERYAMOUNT_ASOE.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
RECOVERY_AMOUNT_CUSTOMER
The recovery amount allocated to customers. NULL Value for Settlement Dates post IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
RECOVERY_AMOUNT_GENERATOR
The recovery amount allocated to generators. NULL Value for Settlement Dates post IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
RECOVERYAMOUNT_ACE
The Recovery dollar amount for the Participant for the NMAS Contract Id calculated using the ACE MWh values for eligible services. NULL Value for Settlement Dates prior to the IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
RECOVERYAMOUNT_ASOE
The Recovery dollar amount for the Participant for the NMAS Contract Id calculated using the ASOE_MWh values for eligible services. NULL Value for Settlement Dates prior to the IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
REGION_ACE_MWH
The Regional ACE MWh value used in the Recovery Amount Calculation. NULL Value for Settlement Dates prior to the IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
REGION_ASOE_MWH
The Regional ASOE MWh value used in the Recovery Amount Calculation. NULL Value for Settlement Dates prior to the IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
REGION_ENERGY
The RegionId energy in MWh for the period. NULL Value for Settlement Dates post IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
REGION_GENERATION
The generator energy in the benefitting region. NULL Value for Settlement Dates post IESS rule effective date.
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
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"
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(
{
"CONTRACTID": pl.Categorical,
"PARTICIPANTID": pl.Categorical,
"PAYMENTTYPE": pl.Enum(["AVAILABILITY", "ENABLEMENT", "COMPENSATION"]),
"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",
]
),
"VERSIONNO": int, # or pl.UInt16
"PARTICIPANT_ACE_MWH": pl.Float64,
"PARTICIPANT_ASOE_MWH": pl.Float64,
"PARTICIPANT_ENERGY": pl.Float64,
"PARTICIPANT_GENERATION": pl.Float64,
"PAYMENT_AMOUNT": pl.Float64,
"RBF": pl.Float64,
"RECOVERY_AMOUNT": pl.Float64,
"RECOVERY_AMOUNT_CUSTOMER": pl.Float64,
"RECOVERY_AMOUNT_GENERATOR": pl.Float64,
"RECOVERYAMOUNT_ACE": pl.Float64,
"RECOVERYAMOUNT_ASOE": pl.Float64,
"REGION_ACE_MWH": pl.Float64,
"REGION_ASOE_MWH": pl.Float64,
"REGION_ENERGY": pl.Float64,
"REGION_GENERATION": pl.Float64,
}
)
# Deduplicate
# We want one row per ['CONTRACTID', 'PARTICIPANTID', 'PAYMENTTYPE', 'PERIODID', 'REGIONID', 'SERVICE', 'SETTLEMENTDATE', 'VERSIONNO']
# Tie-breaker: greatest value of ['LASTCHANGED']
.sort(["LASTCHANGED"], descending=False)
.unique(
subset=[
"CONTRACTID",
"PARTICIPANTID",
"PAYMENTTYPE",
"PERIODID",
"REGIONID",
"SERVICE",
"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:
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.
| Report Name | Report Subtype | Version |
|---|---|---|
| SETTLEMENTS | NMAS_RECOVERY | 3 |
This means that the CSV files start with metadata columns:
Indexes
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