RESIDUE_FUNDS_BID
RESIDUE_FUNDS_BID supports the Settlement Residue Auction, by showing the fund details for each SRA bid by each Participant.
Source
Participant's bid file.
RESIDUE_FUNDS_BID data is confidential to the relevant participant. RESIDUE_FUNDS_BID shows a maximum of 30,000 records per year.
Column Schema
CONTRACTID
SRA Contract identifier
SQL Type: VARCHAR2(30)
Polars Type: pl.Categorical
This column is mandatory, and a primary key.
FROMREGIONID
Nominated source region for 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
This column is mandatory, and a primary key.
INTERCONNECTORID
Interconnector Identifier
SQL Type: VARCHAR2(10)
Polars Type: pl.Categorical
This column is mandatory, and a primary key.
LOADDATE
Date and time the batcher loaded the SRA offer
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
OPTIONID
Unique option identifier (1..20)
SQL Type: NUMBER(3,0)
Polars Type: pl.Int16
This column is mandatory, and a primary key.
PARTICIPANTID
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.
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
UNITS
Quantity of units bid for
SQL Type: NUMBER(5,0)
Polars Type: pl.UInt32
This column is not mandatory.
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("LOADDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
)
.cast(
{
"CONTRACTID": pl.Categorical,
"FROMREGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1"]),
"INTERCONNECTORID": pl.Categorical,
"OPTIONID": int, # or pl.Int16
"PARTICIPANTID": pl.Categorical,
"UNITS": int, # or pl.UInt32
}
)
# Deduplicate
# We want one row per ['CONTRACTID', 'FROMREGIONID', 'INTERCONNECTORID', 'LOADDATE', 'OPTIONID', 'PARTICIPANTID']
# Tie-breaker: greatest value of ['LASTCHANGED']
.sort(["LASTCHANGED"], descending=False)
.unique(
subset=[
"CONTRACTID",
"FROMREGIONID",
"INTERCONNECTORID",
"LOADDATE",
"OPTIONID",
"PARTICIPANTID",
],
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 |
|---|---|---|
| IRAUCTION_BIDS | FUNDS_BID | 1 |
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: IRAUCTION