PREDISPATCH_FCAS_REQ

PREDISPATCH_FCAS_REQ shows Predispatch Constraint tracking for Regional FCAS Requirements.

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

Source

PREDISPATCH_FCAS_REQ updates with each pre-dispatch run (half hourly)

Volume

Approximately 2,000 rows per day.

Note

The PERIODID columns in tables PREDISPATCHCONSTRAINT and PREDISPATCH_FCAS_REQ have no consistent relationship with the other PERIODID values in the other tables in the PRE-DISPATCH package (such as PREDISPATCHPRICE). AEMO and many Participants appreciate the data model is inconsistent, but the cost of changing existing systems has been judged as being unjustifiable. An additional field DATETIME was added to allow joins between these data sets.

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.

DATETIME

Date and Time of trading interval

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

This column is mandatory, and a primary key.

Example: 2025/05/21 19:30:00

GENCONID

Generic Constraint ID - Join to table GenConData

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

Examples:

D_I+BIP_ML2_L1
D_I+NIL_MG2_R1
D_T+NIL_BB_TG_R1
D_T+NIL_MG_R1
D_T+NIL_MG_RECL_R1
D_T+NIL_ML_L1
D_T+NIL_ML_RECL_L1
D_T+NIL_WF_TG_R1
F_I+BIP_ML_L1
F_I+BIP_ML_L5

REGIONID

Region ID

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
SNOWY1

This column is mandatory, and a primary key.

ADJUSTED_COST

The adjusted cost of the constraint for this service, before the regulation/contingency split

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 2.7706, 0, 3295.45

BASE_COST

The base cost of the constraint for this service, before the regulation/contingency split

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 2.7706, 0, 3295.45

ESTIMATED_CMPF

An estimated value for the constraint CMPF, based on dispatched data

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 5.18015, 0, 67.4055

ESTIMATED_CRMPF

An estimated value for the constraint CRMPF, based on dispatched data

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 1.65349457, 0, 32.59449571

GENCONEFFECTIVEDATE

Generic Constraint EffectiveDate - Join to table GenConData

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

This column is not mandatory.

Example: 2013/08/21 00:00:00

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

GENCONVERSIONNO

Generic Constraint Version number - Join to table GenConData

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is not mandatory.

Example: 1

INTERVENTION

Intervention Flag

Warning

Unlike most tables with an INTERVENTION column, INTERVENTION is not a primary key of PREDISPATCH_FCAS_REQ.

For more information, see the dedicated documentation page.

SQL Type: NUMBER(2,0) Polars Type: pl.Boolean

This column is not mandatory.

Example: 0

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: 2025/05/21 19:02:20

MARGINALVALUE

Marginal Value of generic constraint

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.04, 0, 38.77

PERIODID

Unique period identifier, in the format yyyymmddpp. The period (pp) is 01 to 48, with 01 corresponding to the half-hour ending at 04:30am.

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

Examples:

2025052131
2025052133

PREDISPATCHSEQNO

PreDispatch Sequence number

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

Examples:

2025052131
2025052133

RECOVERY_FACTOR_CMPF

Estimated recovery factor for CMPF based recovery

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 2.68509011, 0, 34.64860479

RECOVERY_FACTOR_CRMPF

Estimated recovery factor for CRMPF based recovery

SQL Type: NUMBER(18,8) Polars Type: pl.Float64

This column is not mandatory.

Examples: 0.00321718, 0, 0.04139866

RUNNO

Case Run number

SQL Type: NUMBER(3,0) Polars Type: pl.UInt16

This column is not mandatory.

Example: 1

New Data Timing

Every thirty-minute pre-dispatch run

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("DATETIME", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("GENCONEFFECTIVEDATE").str.strptime(pl.Date, d_fmt),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"INTERVENTION": pl.UInt8})
    .cast(
        {
            "BIDTYPE": pl.Enum(
                [
                    "ENERGY",
                    "LOWERREG",
                    "LOWER60SEC",
                    "RAISE5MIN",
                    "LOWER5MIN",
                    "LOWER6SEC",
                    "RAISE60SEC",
                    "RAISE6SEC",
                    "RAISEREG",
                    "RAISE1SEC",
                    "LOWER1SEC",
                ]
            ),
            "GENCONID": str,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "ADJUSTED_COST": pl.Float64,
            "BASE_COST": pl.Float64,
            "ESTIMATED_CMPF": pl.Float64,
            "ESTIMATED_CRMPF": pl.Float64,
            "GENCONEFFECTIVEDATE": pl.Date(),
            "GENCONVERSIONNO": int,  # or pl.UInt16
            "INTERVENTION": pl.Boolean,
            "MARGINALVALUE": pl.Float64,
            "PERIODID": str,
            "PREDISPATCHSEQNO": str,
            "RECOVERY_FACTOR_CMPF": pl.Float64,
            "RECOVERY_FACTOR_CRMPF": pl.Float64,
            "RUNNO": int,  # or pl.UInt16
        }
    )
    # Deduplicate
    # We want one row per ['BIDTYPE', 'DATETIME', 'GENCONID', 'REGIONID']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["BIDTYPE", "DATETIME", "GENCONID", "REGIONID"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_PREDISPATCH_FCAS_REQ_FILE01_202505010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

PREDISPATCHSEQNO	RUNNO	INTERVENTION	PERIODID	GENCONID	REGIONID	BIDTYPE	GENCONEFFECTIVEDATE	GENCONVERSIONNO	MARGINALVALUE	DATETIME	LASTCHANGED	BASE_COST	ADJUSTED_COST	ESTIMATED_CMPF	ESTIMATED_CRMPF	RECOVERY_FACTOR_CMPF	RECOVERY_FACTOR_CRMPF
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R1	QLD1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R1	SA1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R1	VIC1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	NSW1	RAISE5MIN	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	NSW1	RAISEREG	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	67.10018	30.94100114	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	QLD1	RAISE5MIN	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	QLD1	RAISEREG	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	67.10018	30.94100114	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	SA1	RAISE5MIN	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	SA1	RAISEREG	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	67.10018	30.94100114	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	VIC1	RAISE5MIN	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	VIC1	RAISEREG	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	67.10018	30.94100114	0	0
...

C	SETP.WORLD	DVD_PREDISPATCH_FCAS_REQ	AEMO	PUBLIC	2025/06/10	12:57:41	001749524261062	MONTHLY_ARCHIVE	001749524261062
I	PREDISPATCH	REGIONFCASREQUIREMENT	2	PREDISPATCHSEQNO	RUNNO	INTERVENTION	PERIODID	GENCONID	REGIONID	BIDTYPE	GENCONEFFECTIVEDATE	GENCONVERSIONNO	MARGINALVALUE	DATETIME	LASTCHANGED	BASE_COST	ADJUSTED_COST	ESTIMATED_CMPF	ESTIMATED_CRMPF	RECOVERY_FACTOR_CMPF	RECOVERY_FACTOR_CRMPF
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R1	QLD1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R1	SA1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R1	VIC1	RAISE1SEC	2025/02/17 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	NSW1	RAISE5MIN	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	NSW1	RAISEREG	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	67.10018	30.94100114	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	QLD1	RAISE5MIN	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	QLD1	RAISEREG	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	67.10018	30.94100114	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	SA1	RAISE5MIN	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	SA1	RAISEREG	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	67.10018	30.94100114	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	VIC1	RAISE5MIN	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	0	0	0	0
D	PREDISPATCH	REGIONFCASREQUIREMENT	2	2025052131	1	0	2025052131	F_MAIN+NIL_MG_R5	VIC1	RAISEREG	2013/08/21 00:00:00	1	0	2025/05/21 19:30:00	2025/05/21 19:02:20	0	0	67.10018	30.94100114	0	0
...
C	END OF REPORT	1003

PREDISPATCHSEQNO,RUNNO,INTERVENTION,PERIODID,GENCONID,REGIONID,BIDTYPE,GENCONEFFECTIVEDATE,GENCONVERSIONNO,MARGINALVALUE,DATETIME,LASTCHANGED,BASE_COST,ADJUSTED_COST,ESTIMATED_CMPF,ESTIMATED_CRMPF,RECOVERY_FACTOR_CMPF,RECOVERY_FACTOR_CRMPF
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R1,QLD1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R1,SA1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R1,VIC1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,NSW1,RAISE5MIN,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,NSW1,RAISEREG,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,67.10018,30.94100114,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,QLD1,RAISE5MIN,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,QLD1,RAISEREG,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,67.10018,30.94100114,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,SA1,RAISE5MIN,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,SA1,RAISEREG,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,67.10018,30.94100114,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,VIC1,RAISE5MIN,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,VIC1,RAISEREG,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,67.10018,30.94100114,0,0
...

Raw Text with Metadata

C,SETP.WORLD,DVD_PREDISPATCH_FCAS_REQ,AEMO,PUBLIC,2025/06/10,12:57:41,001749524261062,MONTHLY_ARCHIVE,001749524261062
I,PREDISPATCH,REGIONFCASREQUIREMENT,2,PREDISPATCHSEQNO,RUNNO,INTERVENTION,PERIODID,GENCONID,REGIONID,BIDTYPE,GENCONEFFECTIVEDATE,GENCONVERSIONNO,MARGINALVALUE,DATETIME,LASTCHANGED,BASE_COST,ADJUSTED_COST,ESTIMATED_CMPF,ESTIMATED_CRMPF,RECOVERY_FACTOR_CMPF,RECOVERY_FACTOR_CRMPF
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R1,QLD1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R1,SA1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R1,VIC1,RAISE1SEC,"2025/02/17 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,NSW1,RAISE5MIN,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,NSW1,RAISEREG,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,67.10018,30.94100114,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,QLD1,RAISE5MIN,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,QLD1,RAISEREG,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,67.10018,30.94100114,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,SA1,RAISE5MIN,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,SA1,RAISEREG,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,67.10018,30.94100114,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,VIC1,RAISE5MIN,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,0,0,0,0
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,2025052131,1,0,2025052131,F_MAIN+NIL_MG_R5,VIC1,RAISEREG,"2013/08/21 00:00:00",1,0,"2025/05/21 19:30:00","2025/05/21 19:02:20",0,0,67.10018,30.94100114,0,0
...
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 4 of 2022. The most recent available data is month 5 of 2025.

Every month in between has a file. (No gaps.)

Data Size

Each year of data is approximately 47 MB when zipped, 469 MB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

BIDTYPE
DATETIME
GENCONID
REGIONID

PDR Loader configuration is:

Report Name	Report Subtype	Version	Undisclosed
PREDISPATCH	REGIONFCASREQUIREMENT	2	⚠️

Warning

Some of these file mappings are not in the published PDR Loader configuration file, even though files for this table exist with those metadata values. Mappings marked with ⚠️ have been added by me after manually inspecting those files.

This means that the CSV files start with metadata columns:

I,PREDISPATCH,REGIONFCASREQUIREMENT,2,...
D,PREDISPATCH,REGIONFCASREQUIREMENT,2,...

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: HISTORICAL TABLES