AUCTION
AUCTION holds auction details. AUCTION is new in March 2003 to support SRA Inter-Temporal Linking.
AUCTION is public data, and is available to all participants.
Source
Static.
Volume
4 records per year
Column Schema
AUCTIONID
Unique id for each auction date
SQL Type: VARCHAR2(30)
Polars Type: str
This column is mandatory, and a primary key.
Example: A202609
AUCTIONDATE
Auction date
SQL Type: DATE
Polars Type: pl.Date()
This column is not mandatory.
Example: 2026/09/15 00:00:00
Note that AEMO represents dates as datetimes with a midnight time component.
AUTHORISEDBY
SQL Type: VARCHAR2(30)
Polars Type: str
This column is not mandatory.
Example: SYSTEM
AUTHORISEDDATE
Warning
Despite what the name suggests, this is a datetime, not a date.
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2026/08/13 10:50:05
DESCRIPTION
Description of an auction
SQL Type: VARCHAR2(100)
Polars Type: str
This column is not mandatory.
ENDDATE
Close date for bidding
SQL Type: DATE
Polars Type: pl.Date()
This column is not mandatory.
Example: 2026/09/15 00:00:00
Note that AEMO represents dates as datetimes with a midnight time component.
LASTCHANGED
For more information, see the dedicated documentation page.
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2026/09/15 14:16:04
NOTIFYDATE
SQL Type: DATE
Polars Type: pl.Date()
This column is not mandatory.
Example: 2026/09/01 00:00:00
Note that AEMO represents dates as datetimes with a midnight time component.
STARTDATE
Open date for bidding
SQL Type: DATE
Polars Type: pl.Date()
This column is not mandatory.
Example: 2026/09/01 00:00:00
Note that AEMO represents dates as datetimes with a midnight time component.
New Data Timing
Updated quarterly
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("AUTHORISEDDATE", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
pl.col("AUCTIONDATE", "ENDDATE", "NOTIFYDATE", "STARTDATE").str.strptime(
pl.Date, d_fmt
),
)
.cast(
{
"AUCTIONID": str,
"AUCTIONDATE": pl.Date(),
"AUTHORISEDBY": str,
"DESCRIPTION": str,
"ENDDATE": pl.Date(),
"NOTIFYDATE": pl.Date(),
"STARTDATE": pl.Date(),
}
)
# Deduplicate
# We want one row per ['AUCTIONID']
# Tie-breaker: greatest value of ['LASTCHANGED']
.sort(["LASTCHANGED"], descending=False)
.unique(subset=["AUCTIONID"], keep="last")
)
Nemosis
This table is not yet available in Nemosis.
Example File
From PUBLIC_ARCHIVE_AUCTION_FILE01_202609010000.zip
| AUCTIONID | AUCTIONDATE | NOTIFYDATE | STARTDATE | ENDDATE | DESCRIPTION | AUTHORISEDDATE | AUTHORISEDBY | LASTCHANGED |
| A202609 | 2026/09/15 00:00:00 | 2026/09/01 00:00:00 | 2026/09/01 00:00:00 | 2026/09/15 00:00:00 | 2026/08/13 10:50:05 | SYSTEM | 2026/09/15 14:16:04 |
| C | SETP.WORLD | DVD_AUCTION | AEMO | PUBLIC | 2026/10/09 | 15:24:38 | 001791523478452 | MONTHLY_ARCHIVE | 001791523478452 | |||
| I | IRAUCTION_CONFIG | AUCTION | 1 | AUCTIONID | AUCTIONDATE | NOTIFYDATE | STARTDATE | ENDDATE | DESCRIPTION | AUTHORISEDDATE | AUTHORISEDBY | LASTCHANGED |
| D | IRAUCTION_CONFIG | AUCTION | 1 | A202609 | 2026/09/15 00:00:00 | 2026/09/01 00:00:00 | 2026/09/01 00:00:00 | 2026/09/15 00:00:00 | 2026/08/13 10:50:05 | SYSTEM | 2026/09/15 14:16:04 | |
| C | END OF REPORT | 4 |
C,SETP.WORLD,DVD_AUCTION,AEMO,PUBLIC,2026/10/09,15:24:38,001791523478452,MONTHLY_ARCHIVE,001791523478452
I,IRAUCTION_CONFIG,AUCTION,1,AUCTIONID,AUCTIONDATE,NOTIFYDATE,STARTDATE,ENDDATE,DESCRIPTION,AUTHORISEDDATE,AUTHORISEDBY,LASTCHANGED
D,IRAUCTION_CONFIG,AUCTION,1,A202609,"2026/09/15 00:00:00","2026/09/01 00:00:00","2026/09/01 00:00:00","2026/09/15 00:00:00",,"2026/08/13 10:50:05",SYSTEM,"2026/09/15 14:16:04"
C,"END OF REPORT",4
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 3 of 2015. The most recent available data is month 9 of 2026.
Warning
There are some months with no files.
Data Size
Each year of data is approximately 5 KB when zipped, 52 KB as unzipped CSV.
Deduplication and PDR Loader Configuration
The primary keys are:
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.
| Report Name | Report Subtype | Version |
|---|---|---|
| IRAUCTION_CONFIG | AUCTION | 1 |
This means that the CSV files start with metadata columns:
ROW_FILTER_TYPE is LASTCHANGED
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