DEFAULTPEROFFER
DEFAULTPEROFFER shows half hourly period-based data in the default bid for each Dispatchable Unit, such as period availability, rate of change and band quantities.
Deprecation Warning
This table is in the HISTORICAL TABLES package, so is likely deprecated.
Source
Obsolete; was updated only when participant changes their default bid.
Column Schema
DUID
Dispatchable Unit Identifier
Warning
This column may contain funny characters such as / (slash) or # (hash). This may break hive-style partitioning.
For more information, see the dedicated documentation page.
SQL Type: VARCHAR2(10)
Polars Type: pl.Categorical
This column is mandatory, and a primary key.
Example: W/HOE#2
PERIODID
Market data. Trading Interval number
SQL Type: NUMBER(3,0)
Polars Type: pl.Int16
This column is mandatory, and a primary key.
SETTLEMENTDATE
Market date starting at 04:30
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
VERSIONNO
Version no of the offer file.
SQL Type: NUMBER(3,0)
Polars Type: pl.UInt16
This column is mandatory, and a primary key.
BANDAVAIL1
Availability at price band 1
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL2
Availability at price band 2
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL3
Availability at price band 3
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL4
Availability at price band 4
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL5
Availability at price band 5
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL6
Availability at price band 6
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL7
Availability at price band 7
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL8
Availability at price band 8
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL9
Availability at price band 9
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
BANDAVAIL10
Availability at price band 10
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
FIXEDLOAD
Fixed unit output MW. A value of zero means no fixed load so the unit is dispatched according to bid and market (rather than zero fixed load)
SQL Type: NUMBER(9,6)
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
MAXAVAIL
Maximum planned availability MW
SQL Type: NUMBER(12,6)
Polars Type: pl.Float64
This column is not mandatory.
PASAAVAILABILITY
The physical plant capability including any capability potentially available within 24 hours.
SQL Type: NUMBER(12,0)
Polars Type: pl.Int64
This column is not mandatory.
ROCDOWN
Rate of change down MW/min
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
ROCUP
Rate of change up MW/min
SQL Type: NUMBER(6,0)
Polars Type: pl.Int32
This column is not mandatory.
SELFDISPATCH
Not used
SQL Type: NUMBER(9,6)
Polars Type: pl.Float64
This column is unused.
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(
{
"DUID": pl.Categorical,
"PERIODID": int, # or pl.Int16
"VERSIONNO": int, # or pl.UInt16
"BANDAVAIL1": int, # or pl.Int32
"BANDAVAIL2": int, # or pl.Int32
"BANDAVAIL3": int, # or pl.Int32
"BANDAVAIL4": int, # or pl.Int32
"BANDAVAIL5": int, # or pl.Int32
"BANDAVAIL6": int, # or pl.Int32
"BANDAVAIL7": int, # or pl.Int32
"BANDAVAIL8": int, # or pl.Int32
"BANDAVAIL9": int, # or pl.Int32
"BANDAVAIL10": int, # or pl.Int32
"FIXEDLOAD": pl.Float64,
"MAXAVAIL": pl.Float64,
"PASAAVAILABILITY": int, # or pl.Int64
"ROCDOWN": int, # or pl.Int32
"ROCUP": int, # or pl.Int32
"SELFDISPATCH": pl.Float64,
}
)
# Drop deprecated/unused columns
.drop("SELFDISPATCH")
# Deduplicate
# We want one row per ['DUID', 'PERIODID', 'SETTLEMENTDATE', 'VERSIONNO']
# Tie-breaker: greatest value of ['LASTCHANGED']
.sort(["LASTCHANGED"], descending=False)
.unique(subset=["DUID", "PERIODID", "SETTLEMENTDATE", "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:
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.
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: HISTORICAL TABLES