LOSSFACTORMODEL

LOSSFACTORMODEL sets out the demand coefficients for each interconnector, used by LP Solver modelling of interconnector flows.

LOSSFACTORMODEL is public data, so is available to all participants.

Source

LOSSFACTORMODEL only changes annually, when there is a change in the interconnector.

Column Schema

EFFECTIVEDATE

Calendar date data set is effective

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

This column is mandatory, and a primary key.

Example: 1998/07/01 00:00:00

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

INTERCONNECTORID

The unique identifier for the interconnector.

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

This column is mandatory, and a primary key.

Examples:

N-Q-MNSP1
NSW1-QLD1
NSW1-SA1
SNOWY1
T-V-MNSP1
V-S-MNSP1
V-SA
V-SN
VIC1-NSW1

REGIONID

The unique region identifier for a connection point of the interconnector

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.

VERSIONNO

Version number within effective date of the status proposed

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

This column is mandatory, and a primary key.

Examples: 1, 4

DEMANDCOEFFICIENT

The coefficient applied to the region demand in the calculation of the interconnector loss factor

SQL Type: NUMBER(27,17) Polars Type: pl.Float64

This column is not mandatory.

Examples: -0.00000010835, 0.000000018182, 0, 0.000138

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: 2003/11/25 15:41:18

New Data Timing

Annually, when there is a change in the interconnector

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("EFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "EFFECTIVEDATE": pl.Date(),
            "INTERCONNECTORID": pl.Categorical,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "VERSIONNO": int,  # or pl.UInt16
            "DEMANDCOEFFICIENT": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['EFFECTIVEDATE', 'INTERCONNECTORID', 'REGIONID', 'VERSIONNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["EFFECTIVEDATE", "INTERCONNECTORID", "REGIONID", "VERSIONNO"],
        keep="last",
    )
)

Nemosis

from nemosis import dynamic_data_compiler

df = dynamic_data_compiler(
    '2024/01/01 00:00:00',
    '2024/01/31 00:00:00',
    "LOSSFACTORMODEL",
    "data/"
)

Nemosis only includes a subset of columns by default, as an optimisation. (i.e. the commonly used columns.) To include others:

from nemosis import defaults

defaults.table_columns["LOSSFACTORMODEL"] += ["LASTCHANGED"]
df = dynamic_data_compiler(...)

Example File

From PUBLIC_ARCHIVE_LOSSFACTORMODEL_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

EFFECTIVEDATE	VERSIONNO	INTERCONNECTORID	REGIONID	DEMANDCOEFFICIENT	LASTCHANGED
1998/07/01 00:00:00	2	V-SN	SA1	-0.00001102	2003/11/25 15:41:18
1998/11/02 00:00:00	1	V-SN	NSW1	-0.000001717	2003/11/25 15:41:18
1998/07/01 00:00:00	2	V-SN	VIC1	0.000004228	2003/11/25 15:41:18
1998/07/01 00:00:00	2	SNOWY1	NSW1	-0.0000111	2003/11/25 15:41:18
1998/07/01 00:00:00	2	SNOWY1	VIC1	0.000003185	2003/11/25 15:41:18
1998/07/01 00:00:00	2	V-SN	NSW1	-0.000001717	2003/11/25 15:41:18
1998/07/01 00:00:00	2	V-SA	SA1	-0.000008363	2003/11/25 15:41:18
1998/07/01 00:00:00	2	V-SA	VIC1	-0.000003926	2003/11/25 15:41:18
1998/08/28 00:00:00	1	SNOWY1	NSW1	-0.0000111	2003/11/25 15:41:18
1998/08/28 00:00:00	1	V-SN	VIC1	0.000004228	2003/11/25 15:41:18
1998/08/28 00:00:00	1	SNOWY1	VIC1	0.000003185	2003/11/25 15:41:18
...

C	SETP.WORLD	DVD_LOSSFACTORMODEL	AEMO	PUBLIC	2026/10/09	15:53:05	001791525185218	MONTHLY_ARCHIVE	001791525185218
I	MARKET_CONFIG	LOSSFACTORMODEL	1	EFFECTIVEDATE	VERSIONNO	INTERCONNECTORID	REGIONID	DEMANDCOEFFICIENT	LASTCHANGED
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/07/01 00:00:00	2	V-SN	SA1	-0.00001102	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/11/02 00:00:00	1	V-SN	NSW1	-0.000001717	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/07/01 00:00:00	2	V-SN	VIC1	0.000004228	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/07/01 00:00:00	2	SNOWY1	NSW1	-0.0000111	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/07/01 00:00:00	2	SNOWY1	VIC1	0.000003185	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/07/01 00:00:00	2	V-SN	NSW1	-0.000001717	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/07/01 00:00:00	2	V-SA	SA1	-0.000008363	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/07/01 00:00:00	2	V-SA	VIC1	-0.000003926	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/08/28 00:00:00	1	SNOWY1	NSW1	-0.0000111	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/08/28 00:00:00	1	V-SN	VIC1	0.000004228	2003/11/25 15:41:18
D	MARKET_CONFIG	LOSSFACTORMODEL	1	1998/08/28 00:00:00	1	SNOWY1	VIC1	0.000003185	2003/11/25 15:41:18
...
C	END OF REPORT	452

EFFECTIVEDATE,VERSIONNO,INTERCONNECTORID,REGIONID,DEMANDCOEFFICIENT,LASTCHANGED
"1998/07/01 00:00:00",2,V-SN,SA1,-0.00001102,"2003/11/25 15:41:18"
"1998/11/02 00:00:00",1,V-SN,NSW1,-0.000001717,"2003/11/25 15:41:18"
"1998/07/01 00:00:00",2,V-SN,VIC1,0.000004228,"2003/11/25 15:41:18"
"1998/07/01 00:00:00",2,SNOWY1,NSW1,-0.0000111,"2003/11/25 15:41:18"
"1998/07/01 00:00:00",2,SNOWY1,VIC1,0.000003185,"2003/11/25 15:41:18"
"1998/07/01 00:00:00",2,V-SN,NSW1,-0.000001717,"2003/11/25 15:41:18"
"1998/07/01 00:00:00",2,V-SA,SA1,-0.000008363,"2003/11/25 15:41:18"
"1998/07/01 00:00:00",2,V-SA,VIC1,-0.000003926,"2003/11/25 15:41:18"
"1998/08/28 00:00:00",1,SNOWY1,NSW1,-0.0000111,"2003/11/25 15:41:18"
"1998/08/28 00:00:00",1,V-SN,VIC1,0.000004228,"2003/11/25 15:41:18"
"1998/08/28 00:00:00",1,SNOWY1,VIC1,0.000003185,"2003/11/25 15:41:18"
...

Raw Text with Metadata

C,SETP.WORLD,DVD_LOSSFACTORMODEL,AEMO,PUBLIC,2026/10/09,15:53:05,001791525185218,MONTHLY_ARCHIVE,001791525185218
I,MARKET_CONFIG,LOSSFACTORMODEL,1,EFFECTIVEDATE,VERSIONNO,INTERCONNECTORID,REGIONID,DEMANDCOEFFICIENT,LASTCHANGED
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/07/01 00:00:00",2,V-SN,SA1,-0.00001102,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/11/02 00:00:00",1,V-SN,NSW1,-0.000001717,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/07/01 00:00:00",2,V-SN,VIC1,0.000004228,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/07/01 00:00:00",2,SNOWY1,NSW1,-0.0000111,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/07/01 00:00:00",2,SNOWY1,VIC1,0.000003185,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/07/01 00:00:00",2,V-SN,NSW1,-0.000001717,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/07/01 00:00:00",2,V-SA,SA1,-0.000008363,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/07/01 00:00:00",2,V-SA,VIC1,-0.000003926,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/08/28 00:00:00",1,SNOWY1,NSW1,-0.0000111,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/08/28 00:00:00",1,V-SN,VIC1,0.000004228,"2003/11/25 15:41:18"
D,MARKET_CONFIG,LOSSFACTORMODEL,1,"1998/08/28 00:00:00",1,SNOWY1,VIC1,0.000003185,"2003/11/25 15:41:18"
...
C,"END OF REPORT",452

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 1 of 2015. 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 48 KB when zipped, 476 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

EFFECTIVEDATE
INTERCONNECTORID
REGIONID
VERSIONNO

The transaction type is "INSERT-UPDATE", which means that you will likely see duplicate data with different values.

You should deduplicate by sorting based on LASTCHANGED, within each group of primary keys.

PDR Loader configuration is:

Report Name	Report Subtype	Version
MARKET_CONFIG	LOSSFACTORMODEL	1

This means that the CSV files start with metadata columns:

I,MARKET_CONFIG,LOSSFACTORMODEL,1,...
D,MARKET_CONFIG,LOSSFACTORMODEL,1,...

ROW_FILTER_TYPE is 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: MARKET_CONFIG