BIDPEROFFER_D

BIDPEROFFER_D shows the public summary of the energy and FCAS offers applicable in the Dispatch for the intervals identified. BIDPEROFFER_D is the child to BIDDAYOFFER_D.

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

Source

BIDPEROFFER_D updates daily shortly after 4am.

See also BIDPEROFFER.

Column Schema

BIDTYPE

Bid Type Identifier

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

ENERGY
LOWERREG
LOWER60SEC
RAISE5MIN
LOWER5MIN
LOWER6SEC
RAISE60SEC
RAISE6SEC
RAISEREG
RAISE1SEC
LOWER1SEC

This column is mandatory, and a primary key.

DIRECTION

The power flow direction to which this offer applies: GEN, LOAD or BIDIRECTIONAL

Warning

Despite AEMO's documentation saying that this column is mandatory, it is missing from older files. It was added to the schema in version 5.3.

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

Examples:

GEN
LOAD

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.

Examples:

ADPBA1
ADPPV1
AGLHAL
W/HOE#2

INTERVAL_DATETIME

Date and Time of the dispatch interval to which the offer applied

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

This column is mandatory, and a primary key.

Example: 2026/09/01 04:05:00

SETTLEMENTDATE

Market date for which the bid applied

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

This column is mandatory, and a primary key.

Example: 2026/09/01 00:00:00

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

BANDAVAIL1

Availability at price band 1

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 1, 6

BANDAVAIL2

Availability at price band 2

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Example: 0

BANDAVAIL3

Availability at price band 3

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 2, 6

BANDAVAIL4

Availability at price band 4

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 2, 6

BANDAVAIL5

Availability at price band 5

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 1, 6

BANDAVAIL6

Availability at price band 6

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 2, 19

BANDAVAIL7

Availability at price band 7

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 2, 6

BANDAVAIL8

Availability at price band 8

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Example: 0

BANDAVAIL9

Availability at price band 9

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Example: 0

BANDAVAIL10

Availability at price band 10

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 0, 4, 255

BIDSETTLEMENTDATE

Market date for which the bid was submitted

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.

ENABLEMENTMAX

Maximum Energy Output (MW) at which this ancillary service can be supplied (AS Only)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

ENABLEMENTMIN

Minimum Energy Output (MW) at which this ancillary service becomes available (AS Only)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

ENERGYLIMIT

The Energy limit applying at the end of this dispatch interval in MWh. For GEN this is a lower energy limit. For LOAD this is an upper energy limit

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

This column is not mandatory.

FIXEDLOAD

Fixed unit output MW (Energy Bids Only). 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(12,6) Polars Type: pl.Float64

This column is not mandatory.

Example: 0

HIGHBREAKPOINT

Maximum Energy Output (MW) at which the unit can provide the full availability (MAXAVAIL) for this ancillary service (AS Only)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

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: 2026/08/15 10:58:18

LOWBREAKPOINT

Minimum Energy Output (MW) at which the unit can provide the full availability (MAXAVAIL) for this ancillary service (AS Only)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

MAXAVAIL

Maximum availability for this BidType in this period

SQL Type: NUMBER(12,6) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0, 1, 160

MR_CAPACITY

Mandatory Restriction Offer amount

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

OFFERDATE

Offer date and time

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: 2026/08/15 10:58:18

PASAAVAILABILITY

Allows for future use for energy bids, being 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.

Examples: 6, 192

PERIODID

The trading interval period identifier (1-288)

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

Examples: 1, 288

RECALL_PERIOD

The advance notice (in hours) that a Scheduled Resource requires to achieve the PASA Availability MW for this trading interval.

SQL Type: NUMBER(8,3) Polars Type: pl.Float64

This column is not mandatory.

Examples: 1, 24000

ROCDOWN

MW/Min for lower (Energy Bids Only)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

Examples: 2, 12

ROCUP

MW/min for raise (Energy Bids Only)

SQL Type: NUMBER(6,0) Polars Type: pl.Int32

This column is not mandatory.

Examples: 2, 12

VERSIONNO

Version number of offer

SQL Type: NUMBER(22,0) Polars Type: pl.UInt128

This column is not mandatory.

Example: 1

New Data Timing

Data is published daily

Code Examples

Polars

This table is so large that you should explicitly enumerate and cast every column, which will speed things up and prevents some errors. Although some of the datatypes are inferred, so they may be wrong. In particular, UInt16 vs UInt8 vs Int16 etc. If you get errors, you can swap these for just int.

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("INTERVAL_DATETIME", "LASTCHANGED", "OFFERDATE").str.strptime(
            pl.Datetime, dt_s_fmt
        ),
        pl.col("SETTLEMENTDATE", "BIDSETTLEMENTDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "BIDTYPE": pl.Enum(
                [
                    "ENERGY",
                    "LOWERREG",
                    "LOWER60SEC",
                    "RAISE5MIN",
                    "LOWER5MIN",
                    "LOWER6SEC",
                    "RAISE60SEC",
                    "RAISE6SEC",
                    "RAISEREG",
                    "RAISE1SEC",
                    "LOWER1SEC",
                ]
            ),
            "DIRECTION": str,
            "DUID": pl.Categorical,
            "SETTLEMENTDATE": pl.Date(),
            "BANDAVAIL1": pl.Int128,
            "BANDAVAIL2": pl.Int128,
            "BANDAVAIL3": pl.Int128,
            "BANDAVAIL4": pl.Int128,
            "BANDAVAIL5": pl.Int128,
            "BANDAVAIL6": pl.Int128,
            "BANDAVAIL7": pl.Int128,
            "BANDAVAIL8": pl.Int128,
            "BANDAVAIL9": pl.Int128,
            "BANDAVAIL10": pl.Int128,
            "BIDSETTLEMENTDATE": pl.Date(),
            "ENABLEMENTMAX": pl.Int32,
            "ENABLEMENTMIN": pl.Int32,
            "ENERGYLIMIT": pl.Float64,
            "FIXEDLOAD": pl.Float64,
            "HIGHBREAKPOINT": pl.Int32,
            "LOWBREAKPOINT": pl.Int32,
            "MAXAVAIL": pl.Float64,
            "MR_CAPACITY": pl.Int32,
            "PASAAVAILABILITY": pl.Int64,
            "PERIODID": pl.Int128,
            "RECALL_PERIOD": pl.Float64,
            "ROCDOWN": pl.Int32,
            "ROCUP": pl.Int32,
            "VERSIONNO": pl.UInt128,
        }
    )
    # Deduplicate
    # These files are so large that this step may cause your laptop to run out of memory.
    # We want one row per ['BIDTYPE', 'DIRECTION', 'DUID', 'INTERVAL_DATETIME', 'SETTLEMENTDATE']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(
        subset=["BIDTYPE", "DIRECTION", "DUID", "INTERVAL_DATETIME", "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',
    "BIDPEROFFER_D",
    "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["BIDPEROFFER_D"] += ["BIDSETTLEMENTDATE", "ENERGYLIMIT", "FIXEDLOAD", "LASTCHANGED", "MR_CAPACITY", "PASAAVAILABILITY", "PERIODID", "RECALL_PERIOD", "ROCDOWN", "ROCUP", "VERSIONNO"]
df = dynamic_data_compiler(...)

Example File

From PUBLIC_ARCHIVE_BIDPEROFFER_D_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

SETTLEMENTDATE	DUID	BIDTYPE	DIRECTION	INTERVAL_DATETIME	BIDSETTLEMENTDATE	OFFERDATE	PERIODID	VERSIONNO	MAXAVAIL	FIXEDLOAD	ROCUP	ROCDOWN	ENABLEMENTMIN	ENABLEMENTMAX	LOWBREAKPOINT	HIGHBREAKPOINT	BANDAVAIL1	BANDAVAIL2	BANDAVAIL3	BANDAVAIL4	BANDAVAIL5	BANDAVAIL6	BANDAVAIL7	BANDAVAIL8	BANDAVAIL9	BANDAVAIL10	LASTCHANGED	PASAAVAILABILITY	MR_CAPACITY	ENERGYLIMIT	RECALL_PERIOD
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:05:00	2026/09/01 00:00:00	2026/09/01 03:56:41	1	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 03:56:41	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:10:00	2026/09/01 00:00:00	2026/09/01 04:01:37	2	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:01:37	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 14:45:00	2026/09/01 00:00:00	2026/09/01 14:36:34	129	1	6	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 14:36:34	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:15:00	2026/09/01 00:00:00	2026/09/01 04:06:48	3	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:06:48	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:20:00	2026/09/01 00:00:00	2026/09/01 04:11:46	4	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:11:46	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:25:00	2026/09/01 00:00:00	2026/09/01 04:16:38	5	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:16:38	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:30:00	2026/09/01 00:00:00	2026/09/01 04:21:34	6	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:21:34	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:35:00	2026/09/01 00:00:00	2026/09/01 04:26:32	7	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:26:32	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:40:00	2026/09/01 00:00:00	2026/09/01 04:31:46	8	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:31:46	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:45:00	2026/09/01 00:00:00	2026/09/01 04:36:41	9	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:36:41	6			24000
2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:50:00	2026/09/01 00:00:00	2026/09/01 04:41:43	10	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:41:43	6			24000
...

C	SETP.WORLD	DVD_BIDPEROFFER_D	AEMO	PUBLIC	2026/10/09	15:24:40	001791523480565	MONTHLY_ARCHIVE	001791523480565
I	BID	BIDPEROFFER_D	4	SETTLEMENTDATE	DUID	BIDTYPE	DIRECTION	INTERVAL_DATETIME	BIDSETTLEMENTDATE	OFFERDATE	PERIODID	VERSIONNO	MAXAVAIL	FIXEDLOAD	ROCUP	ROCDOWN	ENABLEMENTMIN	ENABLEMENTMAX	LOWBREAKPOINT	HIGHBREAKPOINT	BANDAVAIL1	BANDAVAIL2	BANDAVAIL3	BANDAVAIL4	BANDAVAIL5	BANDAVAIL6	BANDAVAIL7	BANDAVAIL8	BANDAVAIL9	BANDAVAIL10	LASTCHANGED	PASAAVAILABILITY	MR_CAPACITY	ENERGYLIMIT	RECALL_PERIOD
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:05:00	2026/09/01 00:00:00	2026/09/01 03:56:41	1	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 03:56:41	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:10:00	2026/09/01 00:00:00	2026/09/01 04:01:37	2	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:01:37	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 14:45:00	2026/09/01 00:00:00	2026/09/01 14:36:34	129	1	6	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 14:36:34	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:15:00	2026/09/01 00:00:00	2026/09/01 04:06:48	3	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:06:48	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:20:00	2026/09/01 00:00:00	2026/09/01 04:11:46	4	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:11:46	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:25:00	2026/09/01 00:00:00	2026/09/01 04:16:38	5	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:16:38	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:30:00	2026/09/01 00:00:00	2026/09/01 04:21:34	6	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:21:34	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:35:00	2026/09/01 00:00:00	2026/09/01 04:26:32	7	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:26:32	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:40:00	2026/09/01 00:00:00	2026/09/01 04:31:46	8	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:31:46	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:45:00	2026/09/01 00:00:00	2026/09/01 04:36:41	9	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:36:41	6			24000
D	BID	BIDPEROFFER_D	4	2026/09/01 00:00:00	ADPBA1	ENERGY	GEN	2026/09/01 04:50:00	2026/09/01 00:00:00	2026/09/01 04:41:43	10	1	3	0	4	4					0	0	0	0	0	0	0	0	0	6	2026/09/01 04:41:43	6			24000
...
C	END OF REPORT	1003

SETTLEMENTDATE,DUID,BIDTYPE,DIRECTION,INTERVAL_DATETIME,BIDSETTLEMENTDATE,OFFERDATE,PERIODID,VERSIONNO,MAXAVAIL,FIXEDLOAD,ROCUP,ROCDOWN,ENABLEMENTMIN,ENABLEMENTMAX,LOWBREAKPOINT,HIGHBREAKPOINT,BANDAVAIL1,BANDAVAIL2,BANDAVAIL3,BANDAVAIL4,BANDAVAIL5,BANDAVAIL6,BANDAVAIL7,BANDAVAIL8,BANDAVAIL9,BANDAVAIL10,LASTCHANGED,PASAAVAILABILITY,MR_CAPACITY,ENERGYLIMIT,RECALL_PERIOD
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:05:00","2026/09/01 00:00:00","2026/09/01 03:56:41",1,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 03:56:41",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:10:00","2026/09/01 00:00:00","2026/09/01 04:01:37",2,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:01:37",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 14:45:00","2026/09/01 00:00:00","2026/09/01 14:36:34",129,1,6,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 14:36:34",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:15:00","2026/09/01 00:00:00","2026/09/01 04:06:48",3,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:06:48",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:20:00","2026/09/01 00:00:00","2026/09/01 04:11:46",4,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:11:46",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:25:00","2026/09/01 00:00:00","2026/09/01 04:16:38",5,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:16:38",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:30:00","2026/09/01 00:00:00","2026/09/01 04:21:34",6,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:21:34",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:35:00","2026/09/01 00:00:00","2026/09/01 04:26:32",7,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:26:32",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:40:00","2026/09/01 00:00:00","2026/09/01 04:31:46",8,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:31:46",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:45:00","2026/09/01 00:00:00","2026/09/01 04:36:41",9,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:36:41",6,,,24000
"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:50:00","2026/09/01 00:00:00","2026/09/01 04:41:43",10,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:41:43",6,,,24000
...

Raw Text with Metadata

C,SETP.WORLD,DVD_BIDPEROFFER_D,AEMO,PUBLIC,2026/10/09,15:24:40,001791523480565,MONTHLY_ARCHIVE,001791523480565
I,BID,BIDPEROFFER_D,4,SETTLEMENTDATE,DUID,BIDTYPE,DIRECTION,INTERVAL_DATETIME,BIDSETTLEMENTDATE,OFFERDATE,PERIODID,VERSIONNO,MAXAVAIL,FIXEDLOAD,ROCUP,ROCDOWN,ENABLEMENTMIN,ENABLEMENTMAX,LOWBREAKPOINT,HIGHBREAKPOINT,BANDAVAIL1,BANDAVAIL2,BANDAVAIL3,BANDAVAIL4,BANDAVAIL5,BANDAVAIL6,BANDAVAIL7,BANDAVAIL8,BANDAVAIL9,BANDAVAIL10,LASTCHANGED,PASAAVAILABILITY,MR_CAPACITY,ENERGYLIMIT,RECALL_PERIOD
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:05:00","2026/09/01 00:00:00","2026/09/01 03:56:41",1,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 03:56:41",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:10:00","2026/09/01 00:00:00","2026/09/01 04:01:37",2,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:01:37",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 14:45:00","2026/09/01 00:00:00","2026/09/01 14:36:34",129,1,6,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 14:36:34",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:15:00","2026/09/01 00:00:00","2026/09/01 04:06:48",3,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:06:48",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:20:00","2026/09/01 00:00:00","2026/09/01 04:11:46",4,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:11:46",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:25:00","2026/09/01 00:00:00","2026/09/01 04:16:38",5,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:16:38",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:30:00","2026/09/01 00:00:00","2026/09/01 04:21:34",6,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:21:34",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:35:00","2026/09/01 00:00:00","2026/09/01 04:26:32",7,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:26:32",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:40:00","2026/09/01 00:00:00","2026/09/01 04:31:46",8,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:31:46",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:45:00","2026/09/01 00:00:00","2026/09/01 04:36:41",9,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:36:41",6,,,24000
D,BID,BIDPEROFFER_D,4,"2026/09/01 00:00:00",ADPBA1,ENERGY,GEN,"2026/09/01 04:50:00","2026/09/01 00:00:00","2026/09/01 04:41:43",10,1,3,0,4,4,,,,,0,0,0,0,0,0,0,0,0,6,"2026/09/01 04:41:43",6,,,24000
...
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.

Warning

There are some months with no files.

Data Size

Each year of data is approximately 2 GB when zipped, 22 GB as unzipped CSV.

Tip

This table is large. Simply calling pd.read_csv() might fill up all the memory on your laptop. (As a rule of thumb, you need double the amount of memory as the size of the CSV.) You will need to think hard about memory optimisation. e.g. consider using Polars instead of Pandas, and selecting only the columns you care about.

Deduplication and PDR Loader Configuration

The primary keys are:

BIDTYPE
DIRECTION
DUID
INTERVAL_DATETIME
SETTLEMENTDATE

Tip

Bid deduplication is particularly tricky. See the guide.

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
BID	BIDPEROFFER_D	3
BID	BIDPEROFFER_D	4

This means that the CSV files start with metadata columns:

I,BID,BIDPEROFFER_D,3,...
D,BID,BIDPEROFFER_D,3,...

or

I,BID,BIDPEROFFER_D,4,...
D,BID,BIDPEROFFER_D,4,...

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: BIDS