SET_WDR_RECON_DETAIL

Settlements WDR reconciliation details

Column Schema

NMI

Unique identifier for the meter to which the metering records applies

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

This column is mandatory, and a primary key.

PERIODID

Trading interval identifier with Period 1 being the first TI for the calendar day, that is the interval ending 00:05

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

SETTLEMENTRUNNO

Settlement run number

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

This column is mandatory, and a primary key.

BASELINECALCULATIONID

A reference to the baseline run that produced the baseline quantity for this NMI and interval

SQL Type: VARCHAR2(100) Polars Type: pl.Categorical

This column is not mandatory.

BQ_DLFADJUSTED

Baseline quantity in MWh for the NMI in the trading interval. A negative quantity indicates net consumption, while a positive value indicates net generation

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

This column is not mandatory.

DRSP

Unique identifier for the participant acting as the DRSP for this NMI on the settlement date

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

This column is not mandatory.

FRMP

Unique identifier for the participant acting as the FRMP for this NMI on the settlement date

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

ISNONCOMPLIANT

A value of TRUE (indicated by 1) for this column indicates that financial settlement of WDR transactions for this NMI should not proceed for the settlement date and trading interval. Possible values are 1 and 0.

SQL Type: NUMBER(1,0) Polars Type: pl.Boolean

This column is not mandatory.

ME_DLFADJUSTED

Metered quantity in MWh for the NMI trading interval. A negative value indicates net consumption and a positive value indicates net generation

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

This column is not mandatory.

MRC

Maximum responsive component for the NMI (MW)

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

This column is not mandatory.

MRCSQ

Maximum responsive component settlement quantity for the NMI (MWh)

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

This column is not mandatory.

QUALITYFLAG

Quality flag for the meter read. Where multiple datastreams exist against the NMI with different quality flags for each read, the lowest quality flag will be published against the NMI for the interval

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

This column is not mandatory.

REGIONID

Unique identifier for the region to which the TNI belongs on the settlement date

For more information, see the dedicated documentation page.

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

• QLD1

• VIC1

• TAS1

• NSW1

• SA1

• SNOWY1

This column is not mandatory.

RRP

Regional reference price for the region in the settlement interval ($/MWh)

For more information, see the dedicated documentation page.

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

This column is not mandatory.

TLF

Transmission loss factor for the wholesale connection point associated with the NMI

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

This column is not mandatory.

TNI

Unique identifier for the transmission node to which this meter belongs on the settlement date

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

This column is not mandatory.

TRANSACTIONAMOUNT

WDR transaction amount for this NMI in the settlement interval ($)

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

This column is not mandatory.

WDRRR

WDR reimbursement rate for the region ($/MWh)

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

This column is not mandatory.

WDRSQ_CAPPED

WDR settlement quantity after capping or flooring (MWh)

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

This column is not mandatory.

WDRSQ_UNCAPPED

WDR settlement quantity before any capping or flooring (MWh)

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

This column is not mandatory.

New Data Timing

Posting a billing 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").str.strptime(pl.Datetime, dt_s_fmt),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"ISNONCOMPLIANT": pl.UInt8, "QUALITYFLAG": pl.UInt8})
    .cast(
        {
            "NMI": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "SETTLEMENTRUNNO": int,  # or pl.UInt16
            "BASELINECALCULATIONID": pl.Categorical,
            "BQ_DLFADJUSTED": pl.Float64,
            "DRSP": pl.Categorical,
            "FRMP": str,
            "ISNONCOMPLIANT": pl.Boolean,
            "ME_DLFADJUSTED": pl.Float64,
            "MRC": pl.Float64,
            "MRCSQ": pl.Float64,
            "QUALITYFLAG": pl.Boolean,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "RRP": pl.Float64,
            "TLF": pl.Float64,
            "TNI": pl.Categorical,
            "TRANSACTIONAMOUNT": pl.Float64,
            "WDRRR": pl.Float64,
            "WDRSQ_CAPPED": pl.Float64,
            "WDRSQ_UNCAPPED": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['NMI', 'PERIODID', 'SETTLEMENTDATE', 'SETTLEMENTRUNNO']
    .unique(subset=["NMI", "PERIODID", "SETTLEMENTDATE", "SETTLEMENTRUNNO"], keep="any")
)

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:

• NMI

• PERIODID

• SETTLEMENTDATE

• SETTLEMENTRUNNO

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	WDR_RECON_DETAIL	1

This means that the CSV files start with metadata columns:

I,SETTLEMENTS,WDR_RECON_DETAIL,1,...
D,SETTLEMENTS,WDR_RECON_DETAIL,1,...

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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