SETCPDATA

SETCPDATA shows meter settlement data for each connection point. This is the key view for retailers to verify energy charges. A regional summary view is also provided. As the view has values for each connection point by period, for each meter data file, it is a very large view. The table is populated for participants using Data Model 5.2. For participants using Data Model 5.3 or higher, SET_ENERGY_TRANSACTIONS and SET_ENERGY_GENSET_DETAIL replace SETCPDATA.

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

The Connection point details (in SETCPDATA) are confidential to the participant and host retailer that the connection points relate to. By comparison, the regional data (SETCPDATAREGION) is publically available.

Source

SETCPDATA updates with each Settlement run.

Column Schema

MDA

Metering Data Agent

SQL Type: VARCHAR2(10) Polars Type: str

This column is mandatory, and a primary key.

PARTICIPANTID

Unique 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(10,0) Polars Type: pl.Int64

This column is mandatory, and a primary key.

SETTLEMENTDATE

Calendar 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

TCPID

Connection point identifier

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

This column is mandatory, and a primary key.

VERSIONNO

Settlement run no

SQL Type: NUMBER(10,0) Polars Type: pl.UInt64

This column is mandatory, and a primary key.

AFE

Accounted For Energy for this Market Customer FRMP and TNI in the Settlements Trading Interval, excluding any UFEA component

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

This column is not mandatory.

AGE

Adjusted Gross Energy for this Market Customer FRMP and TNI in the Settlements Trading Interval. When GS commences, this includes the UFEA amount in the settlement runs.

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

This column is not mandatory.

CPEEP

Connection Point Excess Energy Price = EEP * TLF

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

This column is not mandatory.

CPRRP

Connection Point Price = RRP * TLF

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

This column is not mandatory.

DME

Sum of ME- for all NMIs at this Market Customer FRMP and TNI in the Settlements Trading Interval.

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

This column is not mandatory.

EEP

Excess Energy Price

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

This column is not mandatory.

EP

settlement amount in $ for trading period

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

This column is not mandatory.

EXPORTENERGYCOST

The total cost of energy purchased at the connection point by the participant in this settlement interval

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

This column is not mandatory.

IGENERGY

Import Gross energy into the pool - MWh

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

This column is not mandatory.

IMPORTENERGYCOST

The total cost of energy sold at the connection point by the participant in this settlement interval

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

This column is not mandatory.

INENERGY

Import Nett energy into the pool - MWh, plus UFEA if the UFEA amount is positive. When GS commences, this includes the UFEA amount in the settlement runs.

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

This column is not mandatory.

IPOWER

Import reactive power

SQL Type: NUMBER(16,6) 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

METERRUNNO

Meter Run Number = version number of the meter file

SQL Type: NUMBER(10,0) Polars Type: pl.UInt64

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(20,5) Polars Type: pl.Float64

This column is not mandatory.

TA

Export - Import of Net energy (MWh)

SQL Type: NUMBER(16,6) 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.

UFEA

Share of UFE allocated to this FRMP and TNI in the Settlements Trading Interval.

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

This column is not mandatory.

XGENERGY

Export Gross energy from the pool - MWh

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

This column is not mandatory.

XNENERGY

Export Nett energy from the pool - MWh, plus (UFEA * -1) if the UFEA amount is negative. When GS commences, this includes the UFEA amount in the settlement runs.

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

This column is not mandatory.

XPOWER

Export reactive power

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

This column is not mandatory.

APC

Not used

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

This column is unused.

HOSTDISTRIBUTOR

Not used

SQL Type: VARCHAR2(10) Polars Type: str

This column is unused.

RESC

Not used

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

This column is unused.

RESP

Not used

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

This column is unused.

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(
        {
            "MDA": str,
            "PARTICIPANTID": pl.Categorical,
            "PERIODID": int,  # or pl.Int64
            "TCPID": pl.Categorical,
            "VERSIONNO": int,  # or pl.UInt64
            "AFE": pl.Float64,
            "AGE": pl.Float64,
            "CPEEP": pl.Float64,
            "CPRRP": pl.Float64,
            "DME": pl.Float64,
            "EEP": pl.Float64,
            "EP": pl.Float64,
            "EXPORTENERGYCOST": pl.Float64,
            "IGENERGY": pl.Float64,
            "IMPORTENERGYCOST": pl.Float64,
            "INENERGY": pl.Float64,
            "IPOWER": pl.Float64,
            "METERRUNNO": int,  # or pl.UInt64
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "RRP": pl.Float64,
            "TA": pl.Float64,
            "TLF": pl.Float64,
            "UFEA": pl.Float64,
            "XGENERGY": pl.Float64,
            "XNENERGY": pl.Float64,
            "XPOWER": pl.Float64,
            "APC": pl.Float64,
            "HOSTDISTRIBUTOR": str,
            "RESC": pl.Float64,
            "RESP": pl.Float64,
        }
    )
    # Drop deprecated/unused columns
    .drop("APC", "HOSTDISTRIBUTOR", "RESC", "RESP")
    # Deduplicate
    # We want one row per ['MDA', 'PARTICIPANTID', 'PERIODID', 'SETTLEMENTDATE', 'TCPID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=[
            "MDA",
            "PARTICIPANTID",
            "PERIODID",
            "SETTLEMENTDATE",
            "TCPID",
            "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:

MDA
PARTICIPANTID
PERIODID
SETTLEMENTDATE
TCPID
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.