MTPASA_REGIONAVAILABILITY

Stores the Region-aggregate offered PASA Availability of scheduled generators for each day over the Medium Term PASA period. The data in this table is an aggregate of input data to the MT PASA process it is not part of the MTPASA solution. The aggregate availability does not reflect any energy limitations in the MT PASA offers.

MTPASA_REGIONAVAILABILITY is public data.

Column Schema

DAY

Date on which the aggregation applies.

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

This column is mandatory, and a primary key.

Example: 2026/09/06 00:00:00

PUBLISH_DATETIME

Date Time the report was published.

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

This column is mandatory, and a primary key.

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

REGIONID

NEM Region.

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(20). This is actually a factor/enum, with values:

QLD1
VIC1
TAS1
NSW1
SA1
SNOWY1

This column is mandatory, and a primary key.

CARRYOVERCAPACITY

Split of the CARRYOVER component of aggregate capacity vs the currently reported capacity.

SQL Type: NUMBER(12,0) Polars Type: pl.Int64

This column is not mandatory.

Examples: 0, 19, 100

DEMAND10

10% probability demand (ex non-scheduled demand)

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 1158.38, 1778, 14882.63, 11441

DEMAND10MAX

Maximum of the Operational Load as Generated (OPGEN) peaks that occur in all ref years for the P10 traces (MW).

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 1196.38, 1205, 14061.73, 11790

DEMAND10MIN

Minimum of the Operational Load as Generated (OPGEN) peaks that occur in all ref years for the P10 traces (MW).

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 945.79, 1008, 8641.94, 8214

DEMAND50

50% probability demand (ex non-scheduled demand)

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 1127.61, 1973, 14037.54, 10856

DEMAND50MAX

Maximum of the Operational Load as Generated (OPGEN) peaks that occur in all ref years for the P50 traces (MW).

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 1196.31, 1289, 13196.9, 9486

DEMAND50MIN

Minimum of the Operational Load as Generated (OPGEN) peaks that occur in all ref years for the P50 traces (MW).

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 945.46, 1023, 8654.28, 8292

ENERGYCONSTRAINEDCAPACITY

Region energy constrained MW capacity

SQL Type: NUMBER(12,0) Polars Type: pl.Int64

This column is not mandatory.

Examples: 0, 1601, 10600

ENERGYREQDEMAND10

Total weekly operational as generated consumption (POE 10)

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 170.43, 0, 190, 1325.71

ENERGYREQDEMAND50

Total weekly operational as generated consumption (POE 50)

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 169.34, 0, 1322.66

ENERGYUNCONSTRAINEDCAPACITY

Region energy unconstrained MW capacity

SQL Type: NUMBER(12,0) Polars Type: pl.Int64

This column is not mandatory.

Examples: 828, 10297

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 10:04:59

LATEST_OFFER_DATETIME

Date Time of the latest offer used in the aggregation for this region and date.

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

This column is not mandatory.

Example: 2026/09/01 07:41:18

NONSCHEDULEDGENERATION

Allowance made for non-scheduled generation in the demand forecast (MW)

SQL Type: NUMBER(12,2) Polars Type: pl.Float64

This column is not mandatory.

Examples: 93, 562

PASAAVAILABILITY_SCHEDULED

Aggregate of the offered PASA Availability for all Scheduled generators in this region.

SQL Type: NUMBER(12,0) Polars Type: pl.Int64

This column is not mandatory.

Examples: 1705, 16305

New Data Timing

After each MT PASA run (every 3 hours during market business hours)

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(
            "DAY", "PUBLISH_DATETIME", "LASTCHANGED", "LATEST_OFFER_DATETIME"
        ).str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "CARRYOVERCAPACITY": int,  # or pl.Int64
            "DEMAND10": pl.Float64,
            "DEMAND10MAX": pl.Float64,
            "DEMAND10MIN": pl.Float64,
            "DEMAND50": pl.Float64,
            "DEMAND50MAX": pl.Float64,
            "DEMAND50MIN": pl.Float64,
            "ENERGYCONSTRAINEDCAPACITY": int,  # or pl.Int64
            "ENERGYREQDEMAND10": pl.Float64,
            "ENERGYREQDEMAND50": pl.Float64,
            "ENERGYUNCONSTRAINEDCAPACITY": int,  # or pl.Int64
            "NONSCHEDULEDGENERATION": pl.Float64,
            "PASAAVAILABILITY_SCHEDULED": int,  # or pl.Int64
        }
    )
    # Deduplicate
    # We want one row per ['DAY', 'PUBLISH_DATETIME', 'REGIONID']
    # Tie-breaker: greatest value of LASTCHANGED
    .sort(LASTCHANGED, descending=False)
    .unique(subset=["DAY", "PUBLISH_DATETIME", "REGIONID"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Example File

From PUBLIC_ARCHIVE_MTPASA_REGIONAVAILABILITY_FILE01_202609010000.zip

Table without MetadataTable with MetadataRaw Text without Metadata

PUBLISH_DATETIME	DAY	REGIONID	PASAAVAILABILITY_SCHEDULED	LATEST_OFFER_DATETIME	ENERGYUNCONSTRAINEDCAPACITY	ENERGYCONSTRAINEDCAPACITY	NONSCHEDULEDGENERATION	DEMAND10	DEMAND50	ENERGYREQDEMAND10	ENERGYREQDEMAND50	LASTCHANGED	DEMAND10MIN	DEMAND10MAX	DEMAND50MIN	DEMAND50MAX	CARRYOVERCAPACITY
2026/09/01 09:00:00	2026/09/06 00:00:00	NSW1	13706	2026/09/01 08:50:34	4720	8986	330	10379.56	9940.27	1253.44	1255.04	2026/09/01 10:04:59	8581.05	10719.24	8594.96	10729.31	19
2026/09/01 09:00:00	2026/09/06 00:00:00	QLD1	12951	2026/09/01 07:41:18	8410	4541	310	8520.34	8147.57	932.31	931.46	2026/09/01 10:04:59	6444.14	7441.6	6452.47	7455.5	0
2026/09/01 09:00:00	2026/09/06 00:00:00	SA1	3057	2026/09/01 08:50:34	917	2140	142	1852.87	1761.31	210.25	211.16	2026/09/01 10:04:59	1295.85	2022.32	1299.31	2029.53	0
2026/09/01 09:00:00	2026/09/06 00:00:00	TAS1	1825	2026/09/01 08:41:47	1825	0	93	1527.48	1488.15	204.4	204.39	2026/09/01 10:04:59	1220.47	1482.48	1220.18	1482.54	0
2026/09/01 09:00:00	2026/09/06 00:00:00	VIC1	10830	2026/09/01 08:50:34	4644	6186	271	6856.25	6573.88	922.06	923.02	2026/09/01 10:04:59	5705.5	7155.76	5716.13	7156.44	100
2026/09/01 09:00:00	2026/09/07 00:00:00	NSW1	13721	2026/09/01 08:50:34	4729	8992	330	11324.26	10844.98	0	0	2026/09/01 10:04:59	8341.89	10760.03	8351.81	10770.12	19
2026/09/01 09:00:00	2026/09/07 00:00:00	QLD1	12770	2026/09/01 07:41:18	8229	4541	310	9096.97	8698.97	0	0	2026/09/01 10:04:59	6437.88	7242.62	6446.21	7264.31	0
2026/09/01 09:00:00	2026/09/07 00:00:00	SA1	2806	2026/09/01 08:50:34	917	1889	142	2033.9	1933.39	0	0	2026/09/01 10:04:59	1280.19	1997.57	1283.59	2003.3	0
2026/09/01 09:00:00	2026/09/07 00:00:00	TAS1	1825	2026/09/01 08:41:47	1825	0	93	1603.48	1562.18	0	0	2026/09/01 10:04:59	1218.34	1478.2	1218.35	1478.26	0
2026/09/01 09:00:00	2026/09/07 00:00:00	VIC1	10439	2026/09/01 08:50:34	4603	5836	271	7709.28	7391.78	0	0	2026/09/01 10:04:59	5632.71	7229.39	5643.2	7249.57	100
2026/09/01 09:00:00	2026/09/08 00:00:00	NSW1	13721	2026/09/01 08:50:34	4729	8992	330	11950.61	11444.82	0	0	2026/09/01 10:04:59	8517.99	10742.84	8528.24	10759.85	19
...

C	SETP.WORLD	DVD_MTPASA_REGIONAVAILABILITY	AEMO	PUBLIC	2026/10/09	15:55:16	001791525316130	MONTHLY_ARCHIVE	001791525316130
I	MTPASA	REGIONAVAILABILITY	4	PUBLISH_DATETIME	DAY	REGIONID	PASAAVAILABILITY_SCHEDULED	LATEST_OFFER_DATETIME	ENERGYUNCONSTRAINEDCAPACITY	ENERGYCONSTRAINEDCAPACITY	NONSCHEDULEDGENERATION	DEMAND10	DEMAND50	ENERGYREQDEMAND10	ENERGYREQDEMAND50	LASTCHANGED	DEMAND10MIN	DEMAND10MAX	DEMAND50MIN	DEMAND50MAX	CARRYOVERCAPACITY
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/06 00:00:00	NSW1	13706	2026/09/01 08:50:34	4720	8986	330	10379.56	9940.27	1253.44	1255.04	2026/09/01 10:04:59	8581.05	10719.24	8594.96	10729.31	19
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/06 00:00:00	QLD1	12951	2026/09/01 07:41:18	8410	4541	310	8520.34	8147.57	932.31	931.46	2026/09/01 10:04:59	6444.14	7441.6	6452.47	7455.5	0
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/06 00:00:00	SA1	3057	2026/09/01 08:50:34	917	2140	142	1852.87	1761.31	210.25	211.16	2026/09/01 10:04:59	1295.85	2022.32	1299.31	2029.53	0
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/06 00:00:00	TAS1	1825	2026/09/01 08:41:47	1825	0	93	1527.48	1488.15	204.4	204.39	2026/09/01 10:04:59	1220.47	1482.48	1220.18	1482.54	0
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/06 00:00:00	VIC1	10830	2026/09/01 08:50:34	4644	6186	271	6856.25	6573.88	922.06	923.02	2026/09/01 10:04:59	5705.5	7155.76	5716.13	7156.44	100
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/07 00:00:00	NSW1	13721	2026/09/01 08:50:34	4729	8992	330	11324.26	10844.98	0	0	2026/09/01 10:04:59	8341.89	10760.03	8351.81	10770.12	19
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/07 00:00:00	QLD1	12770	2026/09/01 07:41:18	8229	4541	310	9096.97	8698.97	0	0	2026/09/01 10:04:59	6437.88	7242.62	6446.21	7264.31	0
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/07 00:00:00	SA1	2806	2026/09/01 08:50:34	917	1889	142	2033.9	1933.39	0	0	2026/09/01 10:04:59	1280.19	1997.57	1283.59	2003.3	0
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/07 00:00:00	TAS1	1825	2026/09/01 08:41:47	1825	0	93	1603.48	1562.18	0	0	2026/09/01 10:04:59	1218.34	1478.2	1218.35	1478.26	0
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/07 00:00:00	VIC1	10439	2026/09/01 08:50:34	4603	5836	271	7709.28	7391.78	0	0	2026/09/01 10:04:59	5632.71	7229.39	5643.2	7249.57	100
D	MTPASA	REGIONAVAILABILITY	4	2026/09/01 09:00:00	2026/09/08 00:00:00	NSW1	13721	2026/09/01 08:50:34	4729	8992	330	11950.61	11444.82	0	0	2026/09/01 10:04:59	8517.99	10742.84	8528.24	10759.85	19
...
C	END OF REPORT	1003

PUBLISH_DATETIME,DAY,REGIONID,PASAAVAILABILITY_SCHEDULED,LATEST_OFFER_DATETIME,ENERGYUNCONSTRAINEDCAPACITY,ENERGYCONSTRAINEDCAPACITY,NONSCHEDULEDGENERATION,DEMAND10,DEMAND50,ENERGYREQDEMAND10,ENERGYREQDEMAND50,LASTCHANGED,DEMAND10MIN,DEMAND10MAX,DEMAND50MIN,DEMAND50MAX,CARRYOVERCAPACITY
"2026/09/01 09:00:00","2026/09/06 00:00:00",NSW1,13706,"2026/09/01 08:50:34",4720,8986,330,10379.56,9940.27,1253.44,1255.04,"2026/09/01 10:04:59",8581.05,10719.24,8594.96,10729.31,19
"2026/09/01 09:00:00","2026/09/06 00:00:00",QLD1,12951,"2026/09/01 07:41:18",8410,4541,310,8520.34,8147.57,932.31,931.46,"2026/09/01 10:04:59",6444.14,7441.6,6452.47,7455.5,0
"2026/09/01 09:00:00","2026/09/06 00:00:00",SA1,3057,"2026/09/01 08:50:34",917,2140,142,1852.87,1761.31,210.25,211.16,"2026/09/01 10:04:59",1295.85,2022.32,1299.31,2029.53,0
"2026/09/01 09:00:00","2026/09/06 00:00:00",TAS1,1825,"2026/09/01 08:41:47",1825,0,93,1527.48,1488.15,204.4,204.39,"2026/09/01 10:04:59",1220.47,1482.48,1220.18,1482.54,0
"2026/09/01 09:00:00","2026/09/06 00:00:00",VIC1,10830,"2026/09/01 08:50:34",4644,6186,271,6856.25,6573.88,922.06,923.02,"2026/09/01 10:04:59",5705.5,7155.76,5716.13,7156.44,100
"2026/09/01 09:00:00","2026/09/07 00:00:00",NSW1,13721,"2026/09/01 08:50:34",4729,8992,330,11324.26,10844.98,0,0,"2026/09/01 10:04:59",8341.89,10760.03,8351.81,10770.12,19
"2026/09/01 09:00:00","2026/09/07 00:00:00",QLD1,12770,"2026/09/01 07:41:18",8229,4541,310,9096.97,8698.97,0,0,"2026/09/01 10:04:59",6437.88,7242.62,6446.21,7264.31,0
"2026/09/01 09:00:00","2026/09/07 00:00:00",SA1,2806,"2026/09/01 08:50:34",917,1889,142,2033.9,1933.39,0,0,"2026/09/01 10:04:59",1280.19,1997.57,1283.59,2003.3,0
"2026/09/01 09:00:00","2026/09/07 00:00:00",TAS1,1825,"2026/09/01 08:41:47",1825,0,93,1603.48,1562.18,0,0,"2026/09/01 10:04:59",1218.34,1478.2,1218.35,1478.26,0
"2026/09/01 09:00:00","2026/09/07 00:00:00",VIC1,10439,"2026/09/01 08:50:34",4603,5836,271,7709.28,7391.78,0,0,"2026/09/01 10:04:59",5632.71,7229.39,5643.2,7249.57,100
"2026/09/01 09:00:00","2026/09/08 00:00:00",NSW1,13721,"2026/09/01 08:50:34",4729,8992,330,11950.61,11444.82,0,0,"2026/09/01 10:04:59",8517.99,10742.84,8528.24,10759.85,19
...

Raw Text with Metadata

C,SETP.WORLD,DVD_MTPASA_REGIONAVAILABILITY,AEMO,PUBLIC,2026/10/09,15:55:16,001791525316130,MONTHLY_ARCHIVE,001791525316130
I,MTPASA,REGIONAVAILABILITY,4,PUBLISH_DATETIME,DAY,REGIONID,PASAAVAILABILITY_SCHEDULED,LATEST_OFFER_DATETIME,ENERGYUNCONSTRAINEDCAPACITY,ENERGYCONSTRAINEDCAPACITY,NONSCHEDULEDGENERATION,DEMAND10,DEMAND50,ENERGYREQDEMAND10,ENERGYREQDEMAND50,LASTCHANGED,DEMAND10MIN,DEMAND10MAX,DEMAND50MIN,DEMAND50MAX,CARRYOVERCAPACITY
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/06 00:00:00",NSW1,13706,"2026/09/01 08:50:34",4720,8986,330,10379.56,9940.27,1253.44,1255.04,"2026/09/01 10:04:59",8581.05,10719.24,8594.96,10729.31,19
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/06 00:00:00",QLD1,12951,"2026/09/01 07:41:18",8410,4541,310,8520.34,8147.57,932.31,931.46,"2026/09/01 10:04:59",6444.14,7441.6,6452.47,7455.5,0
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/06 00:00:00",SA1,3057,"2026/09/01 08:50:34",917,2140,142,1852.87,1761.31,210.25,211.16,"2026/09/01 10:04:59",1295.85,2022.32,1299.31,2029.53,0
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/06 00:00:00",TAS1,1825,"2026/09/01 08:41:47",1825,0,93,1527.48,1488.15,204.4,204.39,"2026/09/01 10:04:59",1220.47,1482.48,1220.18,1482.54,0
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/06 00:00:00",VIC1,10830,"2026/09/01 08:50:34",4644,6186,271,6856.25,6573.88,922.06,923.02,"2026/09/01 10:04:59",5705.5,7155.76,5716.13,7156.44,100
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/07 00:00:00",NSW1,13721,"2026/09/01 08:50:34",4729,8992,330,11324.26,10844.98,0,0,"2026/09/01 10:04:59",8341.89,10760.03,8351.81,10770.12,19
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/07 00:00:00",QLD1,12770,"2026/09/01 07:41:18",8229,4541,310,9096.97,8698.97,0,0,"2026/09/01 10:04:59",6437.88,7242.62,6446.21,7264.31,0
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/07 00:00:00",SA1,2806,"2026/09/01 08:50:34",917,1889,142,2033.9,1933.39,0,0,"2026/09/01 10:04:59",1280.19,1997.57,1283.59,2003.3,0
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/07 00:00:00",TAS1,1825,"2026/09/01 08:41:47",1825,0,93,1603.48,1562.18,0,0,"2026/09/01 10:04:59",1218.34,1478.2,1218.35,1478.26,0
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/07 00:00:00",VIC1,10439,"2026/09/01 08:50:34",4603,5836,271,7709.28,7391.78,0,0,"2026/09/01 10:04:59",5632.71,7229.39,5643.2,7249.57,100
D,MTPASA,REGIONAVAILABILITY,4,"2026/09/01 09:00:00","2026/09/08 00:00:00",NSW1,13721,"2026/09/01 08:50:34",4729,8992,330,11950.61,11444.82,0,0,"2026/09/01 10:04:59",8517.99,10742.84,8528.24,10759.85,19
...
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 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 211 MB when zipped, 2 GB as unzipped CSV.

Deduplication and PDR Loader Configuration

The primary keys are:

DAY
PUBLISH_DATETIME
REGIONID

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
MTPASA	REGIONAVAILABILITY	3
MTPASA	REGIONAVAILABILITY	4

This means that the CSV files start with metadata columns:

I,MTPASA,REGIONAVAILABILITY,3,...
D,MTPASA,REGIONAVAILABILITY,3,...

or

I,MTPASA,REGIONAVAILABILITY,4,...
D,MTPASA,REGIONAVAILABILITY,4,...

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: MTPASA