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PREDISPATCHCASESOLUTION

PREDISPATCHCASESOLUTION provides information relating to the complete predispatch run. The fields provide an overview of the dispatch run results allowing immediate identification of conditions such as energy or FCAS deficiencies.

PREDISPATCHCASESOLUTION data is public, so is available to all participants.

Source

PREDISPATCHCASESOLUTION updates every half-hour.

Volume

Approximately 48 records per day.

Column Schema

PREDISPATCHSEQNO

Unique identifier of predispatch run in the form YYYYMMDDPP with 01 at 04:30

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

Examples:

  • 2026090101
  • 2026092140

RUNNO

Predispatch run no, normally 1.

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

This column is mandatory, and a primary key.

Example: 1

INTERVENTION

Flag to indicate if this Pre-Dispatch case includes an intervention pricing run: 0 = case does not include an intervention pricing run, 1 = case does include an intervention pricing run. This field has a default value of 0 and is not nullable

Warning

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

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 04:02:00

NONPHYSICALLOSSES

Non-Physical Losses algorithm invoked during this run

SQL Type: NUMBER(1,0) Polars Type: pl.Int8

This column is not mandatory.

Example: 0

SOLUTIONSTATUS

If non-zero indicated one of the following conditions: 1 = Supply Scarcity, Excess generation or constraint violations, -X = Model failure

SQL Type: NUMBER(2,0) Polars Type: pl.Int8

This column is not mandatory.

Examples: 1, 22

SPDVERSION

Current version of SPD

SQL Type: VARCHAR2(20) Polars Type: str

This column is not mandatory.

TOTAL5MINVIOLATION

Total of 5 minute ancillary service region violations

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

This column is not mandatory.

TOTAL6SECVIOLATION

Total of 6 second ancillary service region violations

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

This column is not mandatory.

TOTAL60SECVIOLATION

Total of 60 second ancillary service region violations

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

This column is not mandatory.

TOTALAREAGENVIOLATION

Total Region Demand violations

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

This column is not mandatory.

Example: 0

TOTALASPROFILEVIOLATION

Total of ancillary service trader profile violations

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

This column is not mandatory.

Example: 0

TOTALENERGYCONSTRVIOLATION

Total of Energy Constrained unit offer violations.

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

This column is not mandatory.

Examples: 0, 20

TOTALENERGYOFFERVIOLATION

Total of unit summated offer band violations

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

This column is not mandatory.

Example: 0

TOTALGENERICVIOLATION

Total generic constraint violations

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

This column is not mandatory.

Examples: 0.002, 0, 10, 1763

TOTALINTERCONNECTORVIOLATION

Total interconnector violations

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

This column is not mandatory.

Example: 0

TOTALOBJECTIVE

The Objective function from the LP

SQL Type: NUMBER(27,10) Polars Type: pl.Float64

This column is not mandatory.

Examples: -1345204.551, 348809.312, 1183428804, 84699544014.542

TOTALRAMPRATEVIOLATION

Total ramp rate violations

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

This column is not mandatory.

Examples: 0.306, 0, 0.79

TOTALREGVIOLATION

Total of Regulation ancillary service region violations

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

This column is not mandatory.

TOTALUNITMWCAPACITYVIOLATION

Total unit capacity violations

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

This column is not mandatory.

Examples: 0.4, 0, 7, 1698

New Data Timing

Every 30 minutes

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("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(
        {
            "PREDISPATCHSEQNO": str,
            "RUNNO": int,  # or pl.UInt16
            "INTERVENTION": pl.Boolean,
            "NONPHYSICALLOSSES": int,  # or pl.Int8
            "SOLUTIONSTATUS": int,  # or pl.Int8
            "SPDVERSION": str,
            "TOTAL5MINVIOLATION": pl.Float64,
            "TOTAL6SECVIOLATION": pl.Float64,
            "TOTAL60SECVIOLATION": pl.Float64,
            "TOTALAREAGENVIOLATION": pl.Float64,
            "TOTALASPROFILEVIOLATION": pl.Float64,
            "TOTALENERGYCONSTRVIOLATION": pl.Float64,
            "TOTALENERGYOFFERVIOLATION": pl.Float64,
            "TOTALGENERICVIOLATION": pl.Float64,
            "TOTALINTERCONNECTORVIOLATION": pl.Float64,
            "TOTALOBJECTIVE": pl.Float64,
            "TOTALRAMPRATEVIOLATION": pl.Float64,
            "TOTALREGVIOLATION": pl.Float64,
            "TOTALUNITMWCAPACITYVIOLATION": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['PREDISPATCHSEQNO', 'RUNNO']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["PREDISPATCHSEQNO", "RUNNO"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_PREDISPATCHCASESOLUTION_FILE01_202609010000.zip

PREDISPATCHSEQNORUNNOSOLUTIONSTATUSSPDVERSIONNONPHYSICALLOSSESTOTALOBJECTIVETOTALAREAGENVIOLATIONTOTALINTERCONNECTORVIOLATIONTOTALGENERICVIOLATIONTOTALRAMPRATEVIOLATIONTOTALUNITMWCAPACITYVIOLATIONTOTAL5MINVIOLATIONTOTALREGVIOLATIONTOTAL6SECVIOLATIONTOTAL60SECVIOLATIONTOTALASPROFILEVIOLATIONTOTALENERGYCONSTRVIOLATIONTOTALENERGYOFFERVIOLATIONLASTCHANGEDINTERVENTION
20260901011104147336767.60100009.60002026/09/01 04:02:000
20260901021103430179689.92000014.10002026/09/01 04:32:000
20260901031104353343053.22000000002026/09/01 05:02:010
20260901041104388635493.421000000002026/09/01 05:32:020
20260901051105519041407.2740000.3064.40002026/09/01 06:02:030
20260901061105464215728.18400008.60002026/09/01 06:32:040
20260901071107408821235.384000000002026/09/01 07:01:490
20260901081105917402635.745000000002026/09/01 07:31:500
20260901091104799217817.124000000002026/09/01 08:01:510
20260901101103357003296.661000000002026/09/01 08:31:510
20260901111103610969902.59000000002026/09/01 09:01:520
...

CSETP.WORLDDVD_PREDISPATCHCASESOLUTIONAEMOPUBLIC2026/10/0916:26:59001791527219617MONTHLY_ARCHIVE001791527219617
IPREDISPATCHCASE_SOLUTION1PREDISPATCHSEQNORUNNOSOLUTIONSTATUSSPDVERSIONNONPHYSICALLOSSESTOTALOBJECTIVETOTALAREAGENVIOLATIONTOTALINTERCONNECTORVIOLATIONTOTALGENERICVIOLATIONTOTALRAMPRATEVIOLATIONTOTALUNITMWCAPACITYVIOLATIONTOTAL5MINVIOLATIONTOTALREGVIOLATIONTOTAL6SECVIOLATIONTOTAL60SECVIOLATIONTOTALASPROFILEVIOLATIONTOTALENERGYCONSTRVIOLATIONTOTALENERGYOFFERVIOLATIONLASTCHANGEDINTERVENTION
DPREDISPATCHCASE_SOLUTION120260901011104147336767.60100009.60002026/09/01 04:02:000
DPREDISPATCHCASE_SOLUTION120260901021103430179689.92000014.10002026/09/01 04:32:000
DPREDISPATCHCASE_SOLUTION120260901031104353343053.22000000002026/09/01 05:02:010
DPREDISPATCHCASE_SOLUTION120260901041104388635493.421000000002026/09/01 05:32:020
DPREDISPATCHCASE_SOLUTION120260901051105519041407.2740000.3064.40002026/09/01 06:02:030
DPREDISPATCHCASE_SOLUTION120260901061105464215728.18400008.60002026/09/01 06:32:040
DPREDISPATCHCASE_SOLUTION120260901071107408821235.384000000002026/09/01 07:01:490
DPREDISPATCHCASE_SOLUTION120260901081105917402635.745000000002026/09/01 07:31:500
DPREDISPATCHCASE_SOLUTION120260901091104799217817.124000000002026/09/01 08:01:510
DPREDISPATCHCASE_SOLUTION120260901101103357003296.661000000002026/09/01 08:31:510
DPREDISPATCHCASE_SOLUTION120260901111103610969902.59000000002026/09/01 09:01:520
...
CEND OF REPORT1003

PREDISPATCHSEQNO,RUNNO,SOLUTIONSTATUS,SPDVERSION,NONPHYSICALLOSSES,TOTALOBJECTIVE,TOTALAREAGENVIOLATION,TOTALINTERCONNECTORVIOLATION,TOTALGENERICVIOLATION,TOTALRAMPRATEVIOLATION,TOTALUNITMWCAPACITYVIOLATION,TOTAL5MINVIOLATION,TOTALREGVIOLATION,TOTAL6SECVIOLATION,TOTAL60SECVIOLATION,TOTALASPROFILEVIOLATION,TOTALENERGYCONSTRVIOLATION,TOTALENERGYOFFERVIOLATION,LASTCHANGED,INTERVENTION
2026090101,1,1,,0,4147336767.601,0,0,0,0,9.6,,,,,0,0,0,"2026/09/01 04:02:00",0
2026090102,1,1,,0,3430179689.92,0,0,0,0,14.1,,,,,0,0,0,"2026/09/01 04:32:00",0
2026090103,1,1,,0,4353343053.22,0,0,0,0,0,,,,,0,0,0,"2026/09/01 05:02:01",0
2026090104,1,1,,0,4388635493.421,0,0,0,0,0,,,,,0,0,0,"2026/09/01 05:32:02",0
2026090105,1,1,,0,5519041407.274,0,0,0,0.306,4.4,,,,,0,0,0,"2026/09/01 06:02:03",0
2026090106,1,1,,0,5464215728.184,0,0,0,0,8.6,,,,,0,0,0,"2026/09/01 06:32:04",0
2026090107,1,1,,0,7408821235.384,0,0,0,0,0,,,,,0,0,0,"2026/09/01 07:01:49",0
2026090108,1,1,,0,5917402635.745,0,0,0,0,0,,,,,0,0,0,"2026/09/01 07:31:50",0
2026090109,1,1,,0,4799217817.124,0,0,0,0,0,,,,,0,0,0,"2026/09/01 08:01:51",0
2026090110,1,1,,0,3357003296.661,0,0,0,0,0,,,,,0,0,0,"2026/09/01 08:31:51",0
2026090111,1,1,,0,3610969902.59,0,0,0,0,0,,,,,0,0,0,"2026/09/01 09:01:52",0
...

C,SETP.WORLD,DVD_PREDISPATCHCASESOLUTION,AEMO,PUBLIC,2026/10/09,16:26:59,001791527219617,MONTHLY_ARCHIVE,001791527219617
I,PREDISPATCH,CASE_SOLUTION,1,PREDISPATCHSEQNO,RUNNO,SOLUTIONSTATUS,SPDVERSION,NONPHYSICALLOSSES,TOTALOBJECTIVE,TOTALAREAGENVIOLATION,TOTALINTERCONNECTORVIOLATION,TOTALGENERICVIOLATION,TOTALRAMPRATEVIOLATION,TOTALUNITMWCAPACITYVIOLATION,TOTAL5MINVIOLATION,TOTALREGVIOLATION,TOTAL6SECVIOLATION,TOTAL60SECVIOLATION,TOTALASPROFILEVIOLATION,TOTALENERGYCONSTRVIOLATION,TOTALENERGYOFFERVIOLATION,LASTCHANGED,INTERVENTION
D,PREDISPATCH,CASE_SOLUTION,1,2026090101,1,1,,0,4147336767.601,0,0,0,0,9.6,,,,,0,0,0,"2026/09/01 04:02:00",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090102,1,1,,0,3430179689.92,0,0,0,0,14.1,,,,,0,0,0,"2026/09/01 04:32:00",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090103,1,1,,0,4353343053.22,0,0,0,0,0,,,,,0,0,0,"2026/09/01 05:02:01",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090104,1,1,,0,4388635493.421,0,0,0,0,0,,,,,0,0,0,"2026/09/01 05:32:02",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090105,1,1,,0,5519041407.274,0,0,0,0.306,4.4,,,,,0,0,0,"2026/09/01 06:02:03",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090106,1,1,,0,5464215728.184,0,0,0,0,8.6,,,,,0,0,0,"2026/09/01 06:32:04",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090107,1,1,,0,7408821235.384,0,0,0,0,0,,,,,0,0,0,"2026/09/01 07:01:49",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090108,1,1,,0,5917402635.745,0,0,0,0,0,,,,,0,0,0,"2026/09/01 07:31:50",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090109,1,1,,0,4799217817.124,0,0,0,0,0,,,,,0,0,0,"2026/09/01 08:01:51",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090110,1,1,,0,3357003296.661,0,0,0,0,0,,,,,0,0,0,"2026/09/01 08:31:51",0
D,PREDISPATCH,CASE_SOLUTION,1,2026090111,1,1,,0,3610969902.59,0,0,0,0,0,,,,,0,0,0,"2026/09/01 09:01:52",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 1 of 2015. 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 383 KB when zipped, 4 MB 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
PREDISPATCH CASE_SOLUTION 1

This means that the CSV files start with metadata columns:

I,PREDISPATCH,CASE_SOLUTION,1,...
D,PREDISPATCH,CASE_SOLUTION,1,...

Indexes

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: PRE_DISPATCH