PASAREGIONSOLUTION

PASAREGIONSOLUTION shows the Regional solution for ST PASA showing reserves for each half-hour period. This table (PASAREGIONSOLUTION_D) shows the latest calculated result for each period.

Deprecation Warning

This table is in the HISTORICAL TABLES package, so is likely deprecated.

PASAREGIONSOLUTION is obsolete on 27 March 2002.

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

Source

PASAREGIONSOLUTION is not used; was updated every 2 hours.

Column Schema

PERIODID

PASA Interval (48 half hours)

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory, and a primary key.

REGIONID

Region Identifier

For more information, see the dedicated documentation page.

The SQL type is VARCHAR2(10). This is actually a factor/enum, with values:

• QLD1

• VIC1

• TAS1

• NSW1

• SA1

• SNOWY1

This column is mandatory, and a primary key.

CAPACITYREQUIRED

Trading interval demand for the region that has a 10% probability of being exceeded, plus the medium term capacity reserve standard.

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

This column is not mandatory.

CAPACITYSURPLUS

Surplus capacity

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

CASEID

PASA Case Identifier

SQL Type: VARCHAR2(20) Polars Type: str

This column is mandatory (but not a primary key).

CONSTRAINEDCAPACITY

Constrained capacity

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

DATETIME

Date and time of the end of the period

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

This column is not mandatory.

Example: 2026/01/20 00:05:00

DEMAND10

10% exceedence forecast

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

DEMAND50

50% exceedence forecast

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

DEMAND90

90% exceedence forecast

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

ENERGYREQUIRED

Total amount of energy required for the reported day

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

This column is not mandatory.

EXCESSGENERATION

Excess generation in period OR Deficit generation if VoLL

SQL Type: NUMBER(22,0) Polars Type: pl.Int128

This column is not mandatory.

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: 2026/01/20 00:05:00

LOADREJECTIONRESERVEREQ

Load rejection reserve requirement

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

LOADREJECTIONRESERVESURPLUS

Load rejection reserve surplus

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

NETINTERCHANGEUNDEREXCESS

Net interchange excess

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

NETINTERCHANGEUNDERSCARCITY

Net interchange scarcity

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

RESERVECONDITION

Reserve condition

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

RESERVEREQ

Reserve requirement

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

RESERVESURPLUS

Reserve surplus

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

UNCONSTRAINEDCAPACITY

Unconstrained capacity

SQL Type: NUMBER(16,6) Polars Type: pl.Float64

This column is not mandatory.

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("DATETIME", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
    )
    .cast(
        {
            "PERIODID": str,
            "REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
            "CAPACITYREQUIRED": pl.Float64,
            "CAPACITYSURPLUS": pl.Float64,
            "CASEID": str,
            "CONSTRAINEDCAPACITY": pl.Float64,
            "DEMAND10": pl.Float64,
            "DEMAND50": pl.Float64,
            "DEMAND90": pl.Float64,
            "ENERGYREQUIRED": pl.Float64,
            "EXCESSGENERATION": int,  # or pl.Int128
            "LOADREJECTIONRESERVEREQ": pl.Float64,
            "LOADREJECTIONRESERVESURPLUS": pl.Float64,
            "NETINTERCHANGEUNDEREXCESS": pl.Float64,
            "NETINTERCHANGEUNDERSCARCITY": pl.Float64,
            "RESERVECONDITION": pl.Float64,
            "RESERVEREQ": pl.Float64,
            "RESERVESURPLUS": pl.Float64,
            "UNCONSTRAINEDCAPACITY": pl.Float64,
        }
    )
    # Deduplicate
    # We want one row per ['PERIODID', 'REGIONID']
    # Tie-breaker: greatest value of ['LASTCHANGED']
    .sort(["LASTCHANGED"], descending=False)
    .unique(subset=["PERIODID", "REGIONID"], keep="last")
)

Nemosis

This table is not yet available in Nemosis.

Availability

AEMO's documentation states that this table's visibility is "Public". However, it is not available in the public monthly MMSDM archive. AEMO probably call this public because it is available to all market participants over private FTP.

There is a chance that is is still public to non-participants. It may only be available for some months; or (rarely) it may be available in a non-standard location.

Deduplication and PDR Loader Configuration

The primary keys are:

• PERIODID

• REGIONID

PDR Loader configuration does not mention this table, so it is unclear how to choose which row to keep when there are multiple rows for a given set of primary keys.

You should probably take the row with the maximum LASTCHANGED.

Indexes

• LASTCHANGED

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: HISTORICAL TABLES

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