SETCFG_SAPS_SETT_PRICE
The Settlement Price for SAPS Energy in each Region
Column Schema
FROMDATE
The From Date of the SAPS Pricing Application Period
SQL Type: DATE
Polars Type: pl.Date()
This column is mandatory, and a primary key.
Example: 2023/07/01 00:00:00
Note that AEMO represents dates as datetimes with a midnight time component.
REGIONID
The Region ID for which the calculated SAPS Price is applicable
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.
TODATE
The To Date of the SAPS Pricing Application Period
SQL Type: DATE
Polars Type: pl.Date()
This column is mandatory, and a primary key.
Example: 2024/06/30 00:00:00
Note that AEMO represents dates as datetimes with a midnight time component.
VERSION_DATETIME
The Date time of the record generation
SQL Type: DATE
Polars Type: pl.Datetime()
This column is mandatory, and a primary key.
Example: 2023/06/08 00:10:00
ISFIRM
Whether the SAPS Price is Firm or Non-Firm
SQL Type: NUMBER(3,0)
Polars Type: pl.Boolean
This column is not mandatory.
Examples:
0, 1
LASTCHANGED
The Last Changed Date time of the record
For more information, see the dedicated documentation page.
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2023/06/08 00:10:04
SAPS_RRP
The Region Reference Price for SAPS in the Region
SQL Type: NUMBER(18,8)
Polars Type: pl.Float64
This column is not mandatory.
Examples:
33.73, 43, 118.16, 93
New Data Timing
When records for Settlement Price for SAPS Energy in each region are added or modified
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"
# Dates are represented as datetimes at midnight
d_fmt = "%Y/%m/%d 00:00:00"
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("VERSION_DATETIME", "LASTCHANGED").str.strptime(pl.Datetime, dt_s_fmt),
pl.col("FROMDATE", "TODATE").str.strptime(pl.Date, d_fmt),
)
# Polars can't cast string straight to bool. Need to go via something else.
.cast({"ISFIRM": pl.UInt8})
.cast(
{
"FROMDATE": pl.Date(),
"REGIONID": pl.Enum(["QLD1", "VIC1", "TAS1", "NSW1", "SA1", "SNOWY1"]),
"TODATE": pl.Date(),
"ISFIRM": pl.Boolean,
"SAPS_RRP": pl.Float64,
}
)
# Deduplicate
# We want one row per ['FROMDATE', 'REGIONID', 'TODATE', 'VERSION_DATETIME']
# Tie-breaker: greatest value of LASTCHANGED
.sort(LASTCHANGED, descending=False)
.unique(subset=["FROMDATE", "REGIONID", "TODATE", "VERSION_DATETIME"], keep="last")
)
Nemosis
This table is not yet available in Nemosis.
Example File
From PUBLIC_ARCHIVE_SETCFG_SAPS_SETT_PRICE_FILE01_202607010000.zip
| FROMDATE | TODATE | REGIONID | VERSION_DATETIME | SAPS_RRP | ISFIRM | LASTCHANGED |
| 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | NSW1 | 2023/06/27 00:10:00 | 116.36 | 0 | 2023/06/27 00:10:03 |
| 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | QLD1 | 2023/06/27 00:10:00 | 116.53 | 0 | 2023/06/27 00:10:03 |
| 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | SA1 | 2023/06/27 00:10:00 | 97.58 | 0 | 2023/06/27 00:10:03 |
| 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | TAS1 | 2023/06/27 00:10:00 | 90.14 | 0 | 2023/06/27 00:10:03 |
| 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | VIC1 | 2023/06/27 00:10:00 | 80.36 | 0 | 2023/06/27 00:10:03 |
| 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | NSW1 | 2024/04/15 00:10:00 | 62.3 | 0 | 2024/04/15 00:10:01 |
| 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | QLD1 | 2024/04/15 00:10:00 | 66.64 | 0 | 2024/04/15 00:10:01 |
| 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | SA1 | 2024/04/15 00:10:00 | 48.97 | 0 | 2024/04/15 00:10:01 |
| 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | TAS1 | 2024/04/15 00:10:00 | 39.64 | 0 | 2024/04/15 00:10:01 |
| 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | VIC1 | 2024/04/15 00:10:00 | 34.72 | 0 | 2024/04/15 00:10:01 |
| 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | NSW1 | 2024/04/23 00:10:00 | 62.93 | 0 | 2024/04/23 00:10:01 |
| ... |
| C | SETP.WORLD | DVD_SETCFG_SAPS_SETT_PRICE | AEMO | PUBLIC | 2026/08/08 | 14:16:20 | 001786162580082 | MONTHLY_ARCHIVE | 001786162580082 | |
| I | SETCFG | SAPS_SETT_PRICE | 1 | FROMDATE | TODATE | REGIONID | VERSION_DATETIME | SAPS_RRP | ISFIRM | LASTCHANGED |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | NSW1 | 2023/06/27 00:10:00 | 116.36 | 0 | 2023/06/27 00:10:03 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | QLD1 | 2023/06/27 00:10:00 | 116.53 | 0 | 2023/06/27 00:10:03 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | SA1 | 2023/06/27 00:10:00 | 97.58 | 0 | 2023/06/27 00:10:03 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | TAS1 | 2023/06/27 00:10:00 | 90.14 | 0 | 2023/06/27 00:10:03 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2023/07/01 00:00:00 | 2024/06/30 00:00:00 | VIC1 | 2023/06/27 00:10:00 | 80.36 | 0 | 2023/06/27 00:10:03 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | NSW1 | 2024/04/15 00:10:00 | 62.3 | 0 | 2024/04/15 00:10:01 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | QLD1 | 2024/04/15 00:10:00 | 66.64 | 0 | 2024/04/15 00:10:01 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | SA1 | 2024/04/15 00:10:00 | 48.97 | 0 | 2024/04/15 00:10:01 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | TAS1 | 2024/04/15 00:10:00 | 39.64 | 0 | 2024/04/15 00:10:01 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | VIC1 | 2024/04/15 00:10:00 | 34.72 | 0 | 2024/04/15 00:10:01 |
| D | SETCFG | SAPS_SETT_PRICE | 1 | 2024/07/01 00:00:00 | 2025/06/30 00:00:00 | NSW1 | 2024/04/23 00:10:00 | 62.93 | 0 | 2024/04/23 00:10:01 |
| ... | ||||||||||
| C | END OF REPORT | 1003 |
FROMDATE,TODATE,REGIONID,VERSION_DATETIME,SAPS_RRP,ISFIRM,LASTCHANGED
"2023/07/01 00:00:00","2024/06/30 00:00:00",NSW1,"2023/06/27 00:10:00",116.36,0,"2023/06/27 00:10:03"
"2023/07/01 00:00:00","2024/06/30 00:00:00",QLD1,"2023/06/27 00:10:00",116.53,0,"2023/06/27 00:10:03"
"2023/07/01 00:00:00","2024/06/30 00:00:00",SA1,"2023/06/27 00:10:00",97.58,0,"2023/06/27 00:10:03"
"2023/07/01 00:00:00","2024/06/30 00:00:00",TAS1,"2023/06/27 00:10:00",90.14,0,"2023/06/27 00:10:03"
"2023/07/01 00:00:00","2024/06/30 00:00:00",VIC1,"2023/06/27 00:10:00",80.36,0,"2023/06/27 00:10:03"
"2024/07/01 00:00:00","2025/06/30 00:00:00",NSW1,"2024/04/15 00:10:00",62.3,0,"2024/04/15 00:10:01"
"2024/07/01 00:00:00","2025/06/30 00:00:00",QLD1,"2024/04/15 00:10:00",66.64,0,"2024/04/15 00:10:01"
"2024/07/01 00:00:00","2025/06/30 00:00:00",SA1,"2024/04/15 00:10:00",48.97,0,"2024/04/15 00:10:01"
"2024/07/01 00:00:00","2025/06/30 00:00:00",TAS1,"2024/04/15 00:10:00",39.64,0,"2024/04/15 00:10:01"
"2024/07/01 00:00:00","2025/06/30 00:00:00",VIC1,"2024/04/15 00:10:00",34.72,0,"2024/04/15 00:10:01"
"2024/07/01 00:00:00","2025/06/30 00:00:00",NSW1,"2024/04/23 00:10:00",62.93,0,"2024/04/23 00:10:01"
...
C,SETP.WORLD,DVD_SETCFG_SAPS_SETT_PRICE,AEMO,PUBLIC,2026/08/08,14:16:20,001786162580082,MONTHLY_ARCHIVE,001786162580082
I,SETCFG,SAPS_SETT_PRICE,1,FROMDATE,TODATE,REGIONID,VERSION_DATETIME,SAPS_RRP,ISFIRM,LASTCHANGED
D,SETCFG,SAPS_SETT_PRICE,1,"2023/07/01 00:00:00","2024/06/30 00:00:00",NSW1,"2023/06/27 00:10:00",116.36,0,"2023/06/27 00:10:03"
D,SETCFG,SAPS_SETT_PRICE,1,"2023/07/01 00:00:00","2024/06/30 00:00:00",QLD1,"2023/06/27 00:10:00",116.53,0,"2023/06/27 00:10:03"
D,SETCFG,SAPS_SETT_PRICE,1,"2023/07/01 00:00:00","2024/06/30 00:00:00",SA1,"2023/06/27 00:10:00",97.58,0,"2023/06/27 00:10:03"
D,SETCFG,SAPS_SETT_PRICE,1,"2023/07/01 00:00:00","2024/06/30 00:00:00",TAS1,"2023/06/27 00:10:00",90.14,0,"2023/06/27 00:10:03"
D,SETCFG,SAPS_SETT_PRICE,1,"2023/07/01 00:00:00","2024/06/30 00:00:00",VIC1,"2023/06/27 00:10:00",80.36,0,"2023/06/27 00:10:03"
D,SETCFG,SAPS_SETT_PRICE,1,"2024/07/01 00:00:00","2025/06/30 00:00:00",NSW1,"2024/04/15 00:10:00",62.3,0,"2024/04/15 00:10:01"
D,SETCFG,SAPS_SETT_PRICE,1,"2024/07/01 00:00:00","2025/06/30 00:00:00",QLD1,"2024/04/15 00:10:00",66.64,0,"2024/04/15 00:10:01"
D,SETCFG,SAPS_SETT_PRICE,1,"2024/07/01 00:00:00","2025/06/30 00:00:00",SA1,"2024/04/15 00:10:00",48.97,0,"2024/04/15 00:10:01"
D,SETCFG,SAPS_SETT_PRICE,1,"2024/07/01 00:00:00","2025/06/30 00:00:00",TAS1,"2024/04/15 00:10:00",39.64,0,"2024/04/15 00:10:01"
D,SETCFG,SAPS_SETT_PRICE,1,"2024/07/01 00:00:00","2025/06/30 00:00:00",VIC1,"2024/04/15 00:10:00",34.72,0,"2024/04/15 00:10:01"
D,SETCFG,SAPS_SETT_PRICE,1,"2024/07/01 00:00:00","2025/06/30 00:00:00",NSW1,"2024/04/23 00:10:00",62.93,0,"2024/04/23 00:10:01"
...
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 7 of 2026.
Every month in between has a file. (No gaps.)
Data Size
Each year of data is approximately 171 KB when zipped, 2 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.
| Report Name | Report Subtype | Version |
|---|---|---|
| SETCFG | SAPS_SETT_PRICE | 1 |
This means that the CSV files start with metadata columns:
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: SETTLEMENT_CONFIG