SETCFG_WDRRR_CALENDAR

Wholesale Demand Response Reimbursement Rate Calendar

Column Schema

REGIONID

Unique Identifier for the region id

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(20). This is actually a factor/enum, with values:

QLD1
VIC1
TAS1
NSW1
SA1
SNOWY1

This column is mandatory, and a primary key.

VERSION_DATETIME

The Version Date time of the latest changes.

SQL Type: TIMESTAMP(3) Polars Type: pl.Datetime()

This column is mandatory, and a primary key.

Example: 2021/09/30 00:00:00.000

Unlike most datetime columns, this one includes a millisecond component. e.g. 2029/03/15 00:00:00.123.

WDRRRPERIOD

Unique identifier for the period to which the WDRRR applies. For quarter-based periods, this will be equal to YYYY[Q]NN, for example,2020Q3 for 2020 Quarter 3.

SQL Type: VARCHAR2(20) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

2021Q3
2021Q4
2022Q1
2022Q2
2022Q3
2022Q4
2023Q1
2023Q2
2023Q3
2023Q4

ENDDATE

End Date of Period (Inclusive).

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

This column is not mandatory.

Example: 2021/09/30 00:00:00

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

LASTCHANGED

Last changed date for the record.

For more information, see the dedicated documentation page.

SQL Type: TIMESTAMP(3) Polars Type: pl.Datetime()

This column is not mandatory.

Example: 2021/10/01 00:00:00.000

Unlike most datetime columns, this one includes a millisecond component. e.g. 2029/03/15 00:00:00.123.

STARTDATE

Start Date of Period (Inclusive).

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

This column is not mandatory.

Example: 2021/07/01 00:00:00

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

New Data Timing

When records are added or modified

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

# Dates are represented as datetimes at midnight

# e.g. "2029/03/15 00:00:00"

d_fmt = "%Y/%m/%d 00:00:00"

# for "TIMESTAMP" columns
# Note that Polars uses slightly different format strings for fractional seconds to `dt.strptime`
# e.g. "2029/03/15 00:00:00.123".
dt_ms_fmt = "%Y/%m/%d %H:%M:%S%.3f"

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("ENDDATE", "STARTDATE").str.strptime(pl.Date, d_fmt),
        pl.col("VERSION_DATETIME", "LASTCHANGED").str.strptime(pl.Datetime, dt_ms_fmt),
    )
    .cast(
        {
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "WDRRRPERIOD": pl.Categorical,
            "ENDDATE": pl.Date(),
            "STARTDATE": pl.Date(),
        }
    )
    # Deduplicate
    # We want one row per ['REGIONID', 'VERSION_DATETIME', 'WDRRRPERIOD']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["REGIONID", "VERSION_DATETIME", "WDRRRPERIOD"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_SETCFG_WDRRR_CALENDAR_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

WDRRRPERIOD	REGIONID	VERSION_DATETIME	STARTDATE	ENDDATE	LASTCHANGED
2025Q3	SA1	2024/06/14 00:00:00.000	2025/07/01 00:00:00	2025/09/30 00:00:00	2024/06/14 00:00:00.000
2025Q2	QLD1	2024/06/14 00:00:00.000	2025/04/01 00:00:00	2025/06/30 00:00:00	2024/06/14 00:00:00.000
2025Q3	TAS1	2024/06/14 00:00:00.000	2025/07/01 00:00:00	2025/09/30 00:00:00	2024/06/14 00:00:00.000
2025Q2	NSW1	2024/06/14 00:00:00.000	2025/04/01 00:00:00	2025/06/30 00:00:00	2024/06/14 00:00:00.000
2025Q3	VIC1	2024/06/14 00:00:00.000	2025/07/01 00:00:00	2025/09/30 00:00:00	2024/06/14 00:00:00.000
2025Q4	QLD1	2024/06/14 00:00:00.000	2025/10/01 00:00:00	2025/12/31 00:00:00	2024/06/14 00:00:00.000
2027Q4	VIC1	2026/08/03 00:00:00.000	2027/10/01 00:00:00	2027/12/31 00:00:00	2026/08/03 00:00:00.000
2027Q3	VIC1	2026/08/03 00:00:00.000	2027/07/01 00:00:00	2027/09/30 00:00:00	2026/08/03 00:00:00.000
2027Q4	SA1	2026/08/03 00:00:00.000	2027/10/01 00:00:00	2027/12/31 00:00:00	2026/08/03 00:00:00.000
2027Q4	TAS1	2026/08/03 00:00:00.000	2027/10/01 00:00:00	2027/12/31 00:00:00	2026/08/03 00:00:00.000
2027Q2	VIC1	2026/08/03 00:00:00.000	2027/04/01 00:00:00	2027/06/30 00:00:00	2026/08/03 00:00:00.000
...

C	SETP.WORLD	DVD_SETCFG_WDRRR_CALENDAR	AEMO	PUBLIC	2026/10/09	16:31:18	001791527478070	MONTHLY_ARCHIVE	001791527478070
I	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	WDRRRPERIOD	REGIONID	VERSION_DATETIME	STARTDATE	ENDDATE	LASTCHANGED
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2025Q3	SA1	2024/06/14 00:00:00.000	2025/07/01 00:00:00	2025/09/30 00:00:00	2024/06/14 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2025Q2	QLD1	2024/06/14 00:00:00.000	2025/04/01 00:00:00	2025/06/30 00:00:00	2024/06/14 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2025Q3	TAS1	2024/06/14 00:00:00.000	2025/07/01 00:00:00	2025/09/30 00:00:00	2024/06/14 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2025Q2	NSW1	2024/06/14 00:00:00.000	2025/04/01 00:00:00	2025/06/30 00:00:00	2024/06/14 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2025Q3	VIC1	2024/06/14 00:00:00.000	2025/07/01 00:00:00	2025/09/30 00:00:00	2024/06/14 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2025Q4	QLD1	2024/06/14 00:00:00.000	2025/10/01 00:00:00	2025/12/31 00:00:00	2024/06/14 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2027Q4	VIC1	2026/08/03 00:00:00.000	2027/10/01 00:00:00	2027/12/31 00:00:00	2026/08/03 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2027Q3	VIC1	2026/08/03 00:00:00.000	2027/07/01 00:00:00	2027/09/30 00:00:00	2026/08/03 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2027Q4	SA1	2026/08/03 00:00:00.000	2027/10/01 00:00:00	2027/12/31 00:00:00	2026/08/03 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2027Q4	TAS1	2026/08/03 00:00:00.000	2027/10/01 00:00:00	2027/12/31 00:00:00	2026/08/03 00:00:00.000
D	SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1	2027Q2	VIC1	2026/08/03 00:00:00.000	2027/04/01 00:00:00	2027/06/30 00:00:00	2026/08/03 00:00:00.000
...
C	END OF REPORT	133

WDRRRPERIOD,REGIONID,VERSION_DATETIME,STARTDATE,ENDDATE,LASTCHANGED
2025Q3,SA1,"2024/06/14 00:00:00.000","2025/07/01 00:00:00","2025/09/30 00:00:00","2024/06/14 00:00:00.000"
2025Q2,QLD1,"2024/06/14 00:00:00.000","2025/04/01 00:00:00","2025/06/30 00:00:00","2024/06/14 00:00:00.000"
2025Q3,TAS1,"2024/06/14 00:00:00.000","2025/07/01 00:00:00","2025/09/30 00:00:00","2024/06/14 00:00:00.000"
2025Q2,NSW1,"2024/06/14 00:00:00.000","2025/04/01 00:00:00","2025/06/30 00:00:00","2024/06/14 00:00:00.000"
2025Q3,VIC1,"2024/06/14 00:00:00.000","2025/07/01 00:00:00","2025/09/30 00:00:00","2024/06/14 00:00:00.000"
2025Q4,QLD1,"2024/06/14 00:00:00.000","2025/10/01 00:00:00","2025/12/31 00:00:00","2024/06/14 00:00:00.000"
2027Q4,VIC1,"2026/08/03 00:00:00.000","2027/10/01 00:00:00","2027/12/31 00:00:00","2026/08/03 00:00:00.000"
2027Q3,VIC1,"2026/08/03 00:00:00.000","2027/07/01 00:00:00","2027/09/30 00:00:00","2026/08/03 00:00:00.000"
2027Q4,SA1,"2026/08/03 00:00:00.000","2027/10/01 00:00:00","2027/12/31 00:00:00","2026/08/03 00:00:00.000"
2027Q4,TAS1,"2026/08/03 00:00:00.000","2027/10/01 00:00:00","2027/12/31 00:00:00","2026/08/03 00:00:00.000"
2027Q2,VIC1,"2026/08/03 00:00:00.000","2027/04/01 00:00:00","2027/06/30 00:00:00","2026/08/03 00:00:00.000"
...

Raw Text with Metadata

C,SETP.WORLD,DVD_SETCFG_WDRRR_CALENDAR,AEMO,PUBLIC,2026/10/09,16:31:18,001791527478070,MONTHLY_ARCHIVE,001791527478070
I,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,WDRRRPERIOD,REGIONID,VERSION_DATETIME,STARTDATE,ENDDATE,LASTCHANGED
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2025Q3,SA1,"2024/06/14 00:00:00.000","2025/07/01 00:00:00","2025/09/30 00:00:00","2024/06/14 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2025Q2,QLD1,"2024/06/14 00:00:00.000","2025/04/01 00:00:00","2025/06/30 00:00:00","2024/06/14 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2025Q3,TAS1,"2024/06/14 00:00:00.000","2025/07/01 00:00:00","2025/09/30 00:00:00","2024/06/14 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2025Q2,NSW1,"2024/06/14 00:00:00.000","2025/04/01 00:00:00","2025/06/30 00:00:00","2024/06/14 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2025Q3,VIC1,"2024/06/14 00:00:00.000","2025/07/01 00:00:00","2025/09/30 00:00:00","2024/06/14 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2025Q4,QLD1,"2024/06/14 00:00:00.000","2025/10/01 00:00:00","2025/12/31 00:00:00","2024/06/14 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2027Q4,VIC1,"2026/08/03 00:00:00.000","2027/10/01 00:00:00","2027/12/31 00:00:00","2026/08/03 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2027Q3,VIC1,"2026/08/03 00:00:00.000","2027/07/01 00:00:00","2027/09/30 00:00:00","2026/08/03 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2027Q4,SA1,"2026/08/03 00:00:00.000","2027/10/01 00:00:00","2027/12/31 00:00:00","2026/08/03 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2027Q4,TAS1,"2026/08/03 00:00:00.000","2027/10/01 00:00:00","2027/12/31 00:00:00","2026/08/03 00:00:00.000"
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,2027Q2,VIC1,"2026/08/03 00:00:00.000","2027/04/01 00:00:00","2027/06/30 00:00:00","2026/08/03 00:00:00.000"
...
C,"END OF REPORT",133

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 8 of 2024. 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 15 KB when zipped, 155 KB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

REGIONID
VERSION_DATETIME
WDRRRPERIOD

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
SETTLEMENTS_CONFIG	WDRRR_CALENDAR	1

This means that the CSV files start with metadata columns:

I,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,...
D,SETTLEMENTS_CONFIG,WDRRR_CALENDAR,1,...

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: SETTLEMENT_CONFIG