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PD7DAY_CASESOLUTION

PD7DAY case solution table

Column Schema

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

INTERVENTION

Flag to indicate if this Predispatch case includes an intervention pricing run: 0 = case does not include an intervention pricing run, 1 = case does include an intervention pricing run.

Warning

Unlike most tables with an INTERVENTION column, INTERVENTION is not a primary key of PD7DAY_CASESOLUTION.

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: 2026/09/01 07:12:38

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("RUN_DATETIME", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    # Polars can't cast string straight to bool. Need to go via something else.
    .cast({"INTERVENTION": pl.UInt8})
    .cast({"INTERVENTION": pl.Boolean})
    # Deduplicate
    # We want one row per ['RUN_DATETIME']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["RUN_DATETIME"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_PD7DAY_CASESOLUTION_FILE01_202609010000.zip

RUN_DATETIMEINTERVENTIONLASTCHANGED
2026/09/01 07:30:0002026/09/01 07:12:38
2026/09/01 13:00:0002026/09/01 12:43:21
2026/09/02 07:30:0002026/09/02 07:10:36
2026/09/02 13:00:0002026/09/02 12:42:31
2026/09/02 18:00:0002026/09/02 17:43:05
2026/09/03 07:30:0002026/09/03 07:11:56
2026/09/03 13:00:0002026/09/03 12:44:22
2026/09/03 18:00:0002026/09/03 17:43:30
2026/09/04 07:30:0002026/09/04 07:12:21
2026/09/04 13:00:0002026/09/04 12:44:31
2026/09/04 18:00:0002026/09/04 17:42:25
...

CSETP.WORLDDVD_PD7DAY_CASESOLUTIONAEMOPUBLIC2026/10/0916:51:45001791528705418MONTHLY_ARCHIVE001791528705418
IPD7DAYCASESOLUTION1RUN_DATETIMEINTERVENTIONLASTCHANGED
DPD7DAYCASESOLUTION12026/09/01 07:30:0002026/09/01 07:12:38
DPD7DAYCASESOLUTION12026/09/01 13:00:0002026/09/01 12:43:21
DPD7DAYCASESOLUTION12026/09/02 07:30:0002026/09/02 07:10:36
DPD7DAYCASESOLUTION12026/09/02 13:00:0002026/09/02 12:42:31
DPD7DAYCASESOLUTION12026/09/02 18:00:0002026/09/02 17:43:05
DPD7DAYCASESOLUTION12026/09/03 07:30:0002026/09/03 07:11:56
DPD7DAYCASESOLUTION12026/09/03 13:00:0002026/09/03 12:44:22
DPD7DAYCASESOLUTION12026/09/03 18:00:0002026/09/03 17:43:30
DPD7DAYCASESOLUTION12026/09/04 07:30:0002026/09/04 07:12:21
DPD7DAYCASESOLUTION12026/09/04 13:00:0002026/09/04 12:44:31
DPD7DAYCASESOLUTION12026/09/04 18:00:0002026/09/04 17:42:25
...
CEND OF REPORT92

RUN_DATETIME,INTERVENTION,LASTCHANGED
"2026/09/01 07:30:00",0,"2026/09/01 07:12:38"
"2026/09/01 13:00:00",0,"2026/09/01 12:43:21"
"2026/09/02 07:30:00",0,"2026/09/02 07:10:36"
"2026/09/02 13:00:00",0,"2026/09/02 12:42:31"
"2026/09/02 18:00:00",0,"2026/09/02 17:43:05"
"2026/09/03 07:30:00",0,"2026/09/03 07:11:56"
"2026/09/03 13:00:00",0,"2026/09/03 12:44:22"
"2026/09/03 18:00:00",0,"2026/09/03 17:43:30"
"2026/09/04 07:30:00",0,"2026/09/04 07:12:21"
"2026/09/04 13:00:00",0,"2026/09/04 12:44:31"
"2026/09/04 18:00:00",0,"2026/09/04 17:42:25"
...

C,SETP.WORLD,DVD_PD7DAY_CASESOLUTION,AEMO,PUBLIC,2026/10/09,16:51:45,001791528705418,MONTHLY_ARCHIVE,001791528705418
I,PD7DAY,CASESOLUTION,1,RUN_DATETIME,INTERVENTION,LASTCHANGED
D,PD7DAY,CASESOLUTION,1,"2026/09/01 07:30:00",0,"2026/09/01 07:12:38"
D,PD7DAY,CASESOLUTION,1,"2026/09/01 13:00:00",0,"2026/09/01 12:43:21"
D,PD7DAY,CASESOLUTION,1,"2026/09/02 07:30:00",0,"2026/09/02 07:10:36"
D,PD7DAY,CASESOLUTION,1,"2026/09/02 13:00:00",0,"2026/09/02 12:42:31"
D,PD7DAY,CASESOLUTION,1,"2026/09/02 18:00:00",0,"2026/09/02 17:43:05"
D,PD7DAY,CASESOLUTION,1,"2026/09/03 07:30:00",0,"2026/09/03 07:11:56"
D,PD7DAY,CASESOLUTION,1,"2026/09/03 13:00:00",0,"2026/09/03 12:44:22"
D,PD7DAY,CASESOLUTION,1,"2026/09/03 18:00:00",0,"2026/09/03 17:43:30"
D,PD7DAY,CASESOLUTION,1,"2026/09/04 07:30:00",0,"2026/09/04 07:12:21"
D,PD7DAY,CASESOLUTION,1,"2026/09/04 13:00:00",0,"2026/09/04 12:44:31"
D,PD7DAY,CASESOLUTION,1,"2026/09/04 18:00:00",0,"2026/09/04 17:42:25"
...
C,"END OF REPORT",92

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 14 KB when zipped, 137 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 CASESOLUTION 1

This means that the CSV files start with metadata columns:

I,PD7DAY,CASESOLUTION,1,...
D,PD7DAY,CASESOLUTION,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: PD7DAY