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INTERMITTENT_GEN_LIMIT

A submission of Upper MW Limit for an intermittent generating unit, by Trading Day and Trading Interval

Column Schema

DUID

Unique Identifier of Dispatchable Unit

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(20) Polars Type: pl.Categorical

This column is mandatory, and a primary key.

Examples:

  • BALDHWF1
  • BANGOWF1
  • BANGOWF2
  • BERYLSF1
  • BLUFF1
  • BNGSF1
  • BNGSF2
  • W/HOE#2

OFFERDATETIME

Date and Time when this unit availability submission was loaded

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

This column is mandatory, and a primary key.

Example: 2026/08/20 13:41:12

PERIODID

Trading interval number (1...48) within this TRADINGDATE for which UPPERMWLIMIT applies

SQL Type: NUMBER(3,0) Polars Type: pl.Int16

This column is mandatory, and a primary key.

Examples: 1, 48

TRADINGDATE

Trading Day for which this unit availability submission applies

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

This column is mandatory, and a primary key.

Example: 2026/09/02 00:00:00

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

UPPERMWLIMIT

Maximum imposed MW limit (down regulation in AWEFS/ASEFS). Value between 0 and the registered DUID Maximum Capacity. Value = -1 means no limit applies.

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

This column is not mandatory.

Examples: 0, -1, 5, 110

New Data Timing

On participant data submission

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("OFFERDATETIME").str.strptime(pl.Datetime, dt_s_fmt),
        pl.col("TRADINGDATE").str.strptime(pl.Date, d_fmt),
    )
    .cast(
        {
            "DUID": pl.Categorical,
            "PERIODID": int,  # or pl.Int16
            "TRADINGDATE": pl.Date(),
            "UPPERMWLIMIT": int,  # or pl.Int32
        }
    )
    # Deduplicate
    # We want one row per ['DUID', 'OFFERDATETIME', 'PERIODID', 'TRADINGDATE']
    .unique(subset=["DUID", "OFFERDATETIME", "PERIODID", "TRADINGDATE"], keep="any")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_INTERMITTENT_GEN_LIMIT_FILE01_202609010000.zip

TRADINGDATEDUIDOFFERDATETIMEPERIODIDUPPERMWLIMIT
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:231-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:232-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:233-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:234-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:235-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:236-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:237-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:238-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:239-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:2310-1
2026/09/02 00:00:00BALDHWF12026/08/26 13:56:2311-1
...

CSETP.WORLDDVD_INTERMITTENT_GEN_LIMITAEMOPUBLIC2026/10/0915:51:44001791525104429MONTHLY_ARCHIVE001791525104429
IDEMANDINTERMITTENT_GEN_LIMIT1TRADINGDATEDUIDOFFERDATETIMEPERIODIDUPPERMWLIMIT
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:231-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:232-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:233-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:234-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:235-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:236-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:237-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:238-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:239-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:2310-1
DDEMANDINTERMITTENT_GEN_LIMIT12026/09/02 00:00:00BALDHWF12026/08/26 13:56:2311-1
...
CEND OF REPORT1003

TRADINGDATE,DUID,OFFERDATETIME,PERIODID,UPPERMWLIMIT
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",1,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",2,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",3,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",4,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",5,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",6,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",7,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",8,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",9,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",10,-1
"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",11,-1
...

C,SETP.WORLD,DVD_INTERMITTENT_GEN_LIMIT,AEMO,PUBLIC,2026/10/09,15:51:44,001791525104429,MONTHLY_ARCHIVE,001791525104429
I,DEMAND,INTERMITTENT_GEN_LIMIT,1,TRADINGDATE,DUID,OFFERDATETIME,PERIODID,UPPERMWLIMIT
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",1,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",2,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",3,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",4,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",5,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",6,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",7,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",8,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",9,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",10,-1
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,"2026/09/02 00:00:00",BALDHWF1,"2026/08/26 13:56:23",11,-1
...
C,"END OF REPORT",1003

Availability

Visibility: Private & Public Next-Day

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 120 MB when zipped, 1 GB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

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
DEMAND INTERMITTENT_GEN_LIMIT 1

This means that the CSV files start with metadata columns:

I,DEMAND,INTERMITTENT_GEN_LIMIT,1,...
D,DEMAND,INTERMITTENT_GEN_LIMIT,1,...

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: DEMAND_FORECASTS