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PD7DAY_MARKET_SUMMARY

PD7DAY market summary showing calculated gas fuel forecasts

Column Schema

INTERVAL_DATETIME

The unique identifier for the interval within this study

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

This column is mandatory, and a primary key.

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

RUN_DATETIME

Unique Timestamp Identifier for this study

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

This column is mandatory, and a primary key.

Example: 2026/09/01 07:30:00

GPG_FUEL_FORECAST_TJ

The total gas consumption in TJ

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

This column is not mandatory.

Examples: 7.72, 30, 226.93, 170

New Data Timing

Publishes few times per day

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("INTERVAL_DATETIME", "RUN_DATETIME").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast({"GPG_FUEL_FORECAST_TJ": pl.Float64})
    # Deduplicate
    # We want one row per ['INTERVAL_DATETIME', 'RUN_DATETIME']
    .unique(subset=["INTERVAL_DATETIME", "RUN_DATETIME"], keep="any")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_PD7DAY_MARKET_SUMMARY_FILE01_202609010000.zip

RUN_DATETIMEINTERVAL_DATETIMEGPG_FUEL_FORECAST_TJ
2026/09/01 07:30:002026/09/01 00:00:0018.45
2026/09/01 07:30:002026/09/02 00:00:0052.3
2026/09/01 07:30:002026/09/03 00:00:0066.18
2026/09/01 07:30:002026/09/04 00:00:0050.57
2026/09/01 07:30:002026/09/05 00:00:0055.75
2026/09/01 07:30:002026/09/06 00:00:0083.49
2026/09/01 07:30:002026/09/07 00:00:00104.87
2026/09/01 13:00:002026/09/01 00:00:0012.54
2026/09/01 13:00:002026/09/02 00:00:0053.65
2026/09/01 13:00:002026/09/03 00:00:0067.59
2026/09/01 13:00:002026/09/04 00:00:0050.33
...

CSETP.WORLDDVD_PD7DAY_MARKET_SUMMARYAEMOPUBLIC2026/10/0916:51:55001791528715474MONTHLY_ARCHIVE001791528715474
IPD7DAYMARKET_SUMMARY2RUN_DATETIMEINTERVAL_DATETIMEGPG_FUEL_FORECAST_TJ
DPD7DAYMARKET_SUMMARY22026/09/01 07:30:002026/09/01 00:00:0018.45
DPD7DAYMARKET_SUMMARY22026/09/01 07:30:002026/09/02 00:00:0052.3
DPD7DAYMARKET_SUMMARY22026/09/01 07:30:002026/09/03 00:00:0066.18
DPD7DAYMARKET_SUMMARY22026/09/01 07:30:002026/09/04 00:00:0050.57
DPD7DAYMARKET_SUMMARY22026/09/01 07:30:002026/09/05 00:00:0055.75
DPD7DAYMARKET_SUMMARY22026/09/01 07:30:002026/09/06 00:00:0083.49
DPD7DAYMARKET_SUMMARY22026/09/01 07:30:002026/09/07 00:00:00104.87
DPD7DAYMARKET_SUMMARY22026/09/01 13:00:002026/09/01 00:00:0012.54
DPD7DAYMARKET_SUMMARY22026/09/01 13:00:002026/09/02 00:00:0053.65
DPD7DAYMARKET_SUMMARY22026/09/01 13:00:002026/09/03 00:00:0067.59
DPD7DAYMARKET_SUMMARY22026/09/01 13:00:002026/09/04 00:00:0050.33
...
CEND OF REPORT686

RUN_DATETIME,INTERVAL_DATETIME,GPG_FUEL_FORECAST_TJ
"2026/09/01 07:30:00","2026/09/01 00:00:00",18.45
"2026/09/01 07:30:00","2026/09/02 00:00:00",52.3
"2026/09/01 07:30:00","2026/09/03 00:00:00",66.18
"2026/09/01 07:30:00","2026/09/04 00:00:00",50.57
"2026/09/01 07:30:00","2026/09/05 00:00:00",55.75
"2026/09/01 07:30:00","2026/09/06 00:00:00",83.49
"2026/09/01 07:30:00","2026/09/07 00:00:00",104.87
"2026/09/01 13:00:00","2026/09/01 00:00:00",12.54
"2026/09/01 13:00:00","2026/09/02 00:00:00",53.65
"2026/09/01 13:00:00","2026/09/03 00:00:00",67.59
"2026/09/01 13:00:00","2026/09/04 00:00:00",50.33
...

C,SETP.WORLD,DVD_PD7DAY_MARKET_SUMMARY,AEMO,PUBLIC,2026/10/09,16:51:55,001791528715474,MONTHLY_ARCHIVE,001791528715474
I,PD7DAY,MARKET_SUMMARY,2,RUN_DATETIME,INTERVAL_DATETIME,GPG_FUEL_FORECAST_TJ
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 07:30:00","2026/09/01 00:00:00",18.45
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 07:30:00","2026/09/02 00:00:00",52.3
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 07:30:00","2026/09/03 00:00:00",66.18
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 07:30:00","2026/09/04 00:00:00",50.57
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 07:30:00","2026/09/05 00:00:00",55.75
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 07:30:00","2026/09/06 00:00:00",83.49
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 07:30:00","2026/09/07 00:00:00",104.87
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 13:00:00","2026/09/01 00:00:00",12.54
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 13:00:00","2026/09/02 00:00:00",53.65
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 13:00:00","2026/09/03 00:00:00",67.59
D,PD7DAY,MARKET_SUMMARY,2,"2026/09/01 13:00:00","2026/09/04 00:00:00",50.33
...
C,"END OF REPORT",686

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 63 KB when zipped, 633 KB 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
PD7DAY MARKET_SUMMARY 1
PD7DAY MARKET_SUMMARY 2

This means that the CSV files start with metadata columns:

I,PD7DAY,MARKET_SUMMARY,1,...
D,PD7DAY,MARKET_SUMMARY,1,...

or

I,PD7DAY,MARKET_SUMMARY,2,...
D,PD7DAY,MARKET_SUMMARY,2,...

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: PD7DAY