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TRADINGINTERCONNECT

TRADINGINTERCONNECT shows the Interconnector flows for the 5 minutes Trading Interval. Prior to 5 Minute Settlements, this was the average of the six 5 minute dispatch intervals within the 30 minute period.

TRADINGINTERCONNECT is public data, and is available to all participants.

Source

TRADINGINTERCONNECT is updated half hourly.

Column Schema

INTERCONNECTORID

Interconnector identifier

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

This column is mandatory, and a primary key.

Examples:

  • N-Q-MNSP1
  • NSW1-QLD1
  • T-V-MNSP1
  • V-S-MNSP1
  • V-SA
  • VIC1-NSW1

PERIODID

Period number where 1 represents the trading interval ending at 00:05 AEST

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

Examples: 1, 167

RUNNO

Dispatch run no.

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

This column is mandatory, and a primary key.

Example: 1

SETTLEMENTDATE

Date that this data applies to

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: 2026/09/01 00:05:00

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: 2026/09/01 00:00:07

METEREDMWFLOW

Average of the metered MW flow from the start of each dispatch interval.

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

Examples: -0.3, 0.3, 0, 1044

MWFLOW

Calculated MW Flow from SPD

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

Examples: -0.6, 3.8, 0, 1035

MWLOSSES

MW losses at calculated MW flow

SQL Type: NUMBER(15,5) Polars Type: pl.Float64

This column is not mandatory.

Examples: -0.01, 0.01, 0, 114

New Data Timing

Every 30 minutes on price update

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(
        {
            "INTERCONNECTORID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "RUNNO": int,  # or pl.UInt16
            "METEREDMWFLOW": pl.Float64,
            "MWFLOW": pl.Float64,
            "MWLOSSES": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['INTERCONNECTORID', 'PERIODID', 'RUNNO', 'SETTLEMENTDATE']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["INTERCONNECTORID", "PERIODID", "RUNNO", "SETTLEMENTDATE"], 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',
    "TRADINGINTERCONNECT",
    "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["TRADINGINTERCONNECT"] += ["PERIODID", "RUNNO", "LASTCHANGED"]
df = dynamic_data_compiler(...)

Example File

From PUBLIC_ARCHIVE_TRADINGINTERCONNECT_FILE01_202609010000.zip

SETTLEMENTDATERUNNOINTERCONNECTORIDPERIODIDMETEREDMWFLOWMWFLOWMWLOSSESLASTCHANGED
2026/09/01 00:05:001N-Q-MNSP11-40.2-413.062026/09/01 00:00:07
2026/09/01 00:05:001NSW1-QLD11-997.9-952.6174.712026/09/01 00:00:07
2026/09/01 00:05:001T-V-MNSP11247.2224.979.452026/09/01 00:00:07
2026/09/01 00:05:001V-S-MNSP110.6002026/09/01 00:00:07
2026/09/01 00:05:001V-SA1-219.8-207.26.72026/09/01 00:00:07
2026/09/01 00:05:001VIC1-NSW111014.661004.01102.52026/09/01 00:00:07
2026/09/01 00:10:001N-Q-MNSP12-41.3-413.062026/09/01 00:05:07
2026/09/01 00:10:001NSW1-QLD12-1008.8-939.372.62026/09/01 00:05:07
2026/09/01 00:10:001T-V-MNSP12233.8221.849.272026/09/01 00:05:07
2026/09/01 00:10:001V-S-MNSP120.3002026/09/01 00:05:07
2026/09/01 00:10:001V-SA2-242.63-236.488.52026/09/01 00:05:07
...

CSETP.WORLDDVD_TRADINGINTERCONNECTAEMOPUBLIC2026/10/0916:36:17001791527777208MONTHLY_ARCHIVE001791527777208
ITRADINGINTERCONNECTORRES2SETTLEMENTDATERUNNOINTERCONNECTORIDPERIODIDMETEREDMWFLOWMWFLOWMWLOSSESLASTCHANGED
DTRADINGINTERCONNECTORRES22026/09/01 00:05:001N-Q-MNSP11-40.2-413.062026/09/01 00:00:07
DTRADINGINTERCONNECTORRES22026/09/01 00:05:001NSW1-QLD11-997.9-952.6174.712026/09/01 00:00:07
DTRADINGINTERCONNECTORRES22026/09/01 00:05:001T-V-MNSP11247.2224.979.452026/09/01 00:00:07
DTRADINGINTERCONNECTORRES22026/09/01 00:05:001V-S-MNSP110.6002026/09/01 00:00:07
DTRADINGINTERCONNECTORRES22026/09/01 00:05:001V-SA1-219.8-207.26.72026/09/01 00:00:07
DTRADINGINTERCONNECTORRES22026/09/01 00:05:001VIC1-NSW111014.661004.01102.52026/09/01 00:00:07
DTRADINGINTERCONNECTORRES22026/09/01 00:10:001N-Q-MNSP12-41.3-413.062026/09/01 00:05:07
DTRADINGINTERCONNECTORRES22026/09/01 00:10:001NSW1-QLD12-1008.8-939.372.62026/09/01 00:05:07
DTRADINGINTERCONNECTORRES22026/09/01 00:10:001T-V-MNSP12233.8221.849.272026/09/01 00:05:07
DTRADINGINTERCONNECTORRES22026/09/01 00:10:001V-S-MNSP120.3002026/09/01 00:05:07
DTRADINGINTERCONNECTORRES22026/09/01 00:10:001V-SA2-242.63-236.488.52026/09/01 00:05:07
...
CEND OF REPORT1003

SETTLEMENTDATE,RUNNO,INTERCONNECTORID,PERIODID,METEREDMWFLOW,MWFLOW,MWLOSSES,LASTCHANGED
"2026/09/01 00:05:00",1,N-Q-MNSP1,1,-40.2,-41,3.06,"2026/09/01 00:00:07"
"2026/09/01 00:05:00",1,NSW1-QLD1,1,-997.9,-952.61,74.71,"2026/09/01 00:00:07"
"2026/09/01 00:05:00",1,T-V-MNSP1,1,247.2,224.97,9.45,"2026/09/01 00:00:07"
"2026/09/01 00:05:00",1,V-S-MNSP1,1,0.6,0,0,"2026/09/01 00:00:07"
"2026/09/01 00:05:00",1,V-SA,1,-219.8,-207.2,6.7,"2026/09/01 00:00:07"
"2026/09/01 00:05:00",1,VIC1-NSW1,1,1014.66,1004.01,102.5,"2026/09/01 00:00:07"
"2026/09/01 00:10:00",1,N-Q-MNSP1,2,-41.3,-41,3.06,"2026/09/01 00:05:07"
"2026/09/01 00:10:00",1,NSW1-QLD1,2,-1008.8,-939.3,72.6,"2026/09/01 00:05:07"
"2026/09/01 00:10:00",1,T-V-MNSP1,2,233.8,221.84,9.27,"2026/09/01 00:05:07"
"2026/09/01 00:10:00",1,V-S-MNSP1,2,0.3,0,0,"2026/09/01 00:05:07"
"2026/09/01 00:10:00",1,V-SA,2,-242.63,-236.48,8.5,"2026/09/01 00:05:07"
...

C,SETP.WORLD,DVD_TRADINGINTERCONNECT,AEMO,PUBLIC,2026/10/09,16:36:17,001791527777208,MONTHLY_ARCHIVE,001791527777208
I,TRADING,INTERCONNECTORRES,2,SETTLEMENTDATE,RUNNO,INTERCONNECTORID,PERIODID,METEREDMWFLOW,MWFLOW,MWLOSSES,LASTCHANGED
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:05:00",1,N-Q-MNSP1,1,-40.2,-41,3.06,"2026/09/01 00:00:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:05:00",1,NSW1-QLD1,1,-997.9,-952.61,74.71,"2026/09/01 00:00:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:05:00",1,T-V-MNSP1,1,247.2,224.97,9.45,"2026/09/01 00:00:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:05:00",1,V-S-MNSP1,1,0.6,0,0,"2026/09/01 00:00:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:05:00",1,V-SA,1,-219.8,-207.2,6.7,"2026/09/01 00:00:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:05:00",1,VIC1-NSW1,1,1014.66,1004.01,102.5,"2026/09/01 00:00:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:10:00",1,N-Q-MNSP1,2,-41.3,-41,3.06,"2026/09/01 00:05:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:10:00",1,NSW1-QLD1,2,-1008.8,-939.3,72.6,"2026/09/01 00:05:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:10:00",1,T-V-MNSP1,2,233.8,221.84,9.27,"2026/09/01 00:05:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:10:00",1,V-S-MNSP1,2,0.3,0,0,"2026/09/01 00:05:07"
D,TRADING,INTERCONNECTORRES,2,"2026/09/01 00:10:00",1,V-SA,2,-242.63,-236.48,8.5,"2026/09/01 00:05:07"
...
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 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 9 MB when zipped, 91 MB as unzipped CSV.

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.

PDR Loader configuration is:

Report Name Report Subtype Version
TRADING INTERCONNECTORRES 2

This means that the CSV files start with metadata columns:

I,TRADING,INTERCONNECTORRES,2,...
D,TRADING,INTERCONNECTORRES,2,...

Indexes

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: TRADING_DATA