NEGATIVE_RESIDUE
Shows the inputs provided to the Negative Residue Constraints in the Dispatch horizon
Column Schema
DIRECTIONAL_INTERCONNECTORID
Negative residue related direction interconnector id
SQL Type: VARCHAR2(30)
Polars Type: str
This column is mandatory, and a primary key.
Examples:
NSW1_QLD1NSW1_VIC1QLD1_NSW1SA1_VIC1TAS1_VIC1VIC1_NSW1VIC1_SA1VIC1_TAS1
NRM_DATETIME
The time that residue information is processed
SQL Type: DATE
Polars Type: pl.Datetime()
This column is mandatory, and a primary key.
Example: 2026/08/31 23:55:24
SETTLEMENTDATE
Dispatch Interval
Warning
Despite what the name suggests, this is a datetime, not a date.
SQL Type: DATE
Polars Type: pl.Datetime()
This column is mandatory, and a primary key.
Example: 2026/09/01 00:05:00
CUMUL_NEGRESIDUE_AMOUNT
Negative residue triggering amount
SQL Type: NUMBER(15,5)
Polars Type: pl.Float64
This column is not mandatory.
Examples:
-0.14, 0, -33525.75
CUMUL_NEGRESIDUE_PREV_TI
Previous trading interval cumulative negative residue amount
SQL Type: NUMBER(15,5)
Polars Type: pl.Float64
This column is not mandatory.
Examples:
-0.17, 0, -26187.44
DI_NOTBINDING_COUNT
Count of the number of DIs not binding by this constraint
SQL Type: NUMBER(2,0)
Polars Type: pl.Int8
This column is not mandatory.
Example: 3
DI_VIOLATED_COUNT
Count of the number of DIs violated by this constraint
SQL Type: NUMBER(2,0)
Polars Type: pl.Int8
This column is not mandatory.
Example: 0
EVENT_ACTIVATED_DI
The starting DI when NRM event is active
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2026/01/20 00:05:00
EVENT_DEACTIVATED_DI
The finishing DI when NRM event stops being active.
SQL Type: DATE
Polars Type: pl.Datetime()
This column is not mandatory.
Example: 2026/01/20 00:05:00
NEGRESIDUE_CURRENT_TI
Current trading interval negative residue amount
SQL Type: NUMBER(15,5)
Polars Type: pl.Float64
This column is not mandatory.
Examples:
-0.14, 0, -14329, -20116.1
NEGRESIDUE_PD_NEXT_TI
The cumulative negative residue for the next trading interval (PD)
SQL Type: NUMBER(15,5)
Polars Type: pl.Float64
This column is not mandatory.
Examples:
-0.33, 0, -4610, -5856.66
NRM_ACTIVATED_FLAG
Is 1 if negative residue process is on, else is 0
SQL Type: NUMBER(1,0)
Polars Type: pl.Int8
This column is not mandatory.
Example: 0
NRM_LOOP_FLAG
NRM Loop Flag controls monitoring behaviour: 0 = Individual NRM monitoring suppressed (loop operational with aggregate IRSR >= 0) 1 = Individual NRM monitoring active (applies to: loop not operational, aggregate loop IRSR < 0, or non-loop interconnection) This flag is evaluated and set for ALL interconnections in each dispatch interval
SQL Type: NUMBER(1,0)
Polars Type: pl.Boolean
This column is not mandatory.
NRMCONSTRAINT_BLOCKED_FLAG
1 if constraint is blocked, else 0
SQL Type: NUMBER(1,0)
Polars Type: pl.Int8
This column is not mandatory.
PREDISPATCHSEQNO
Predispatch sequence number
SQL Type: VARCHAR2(20)
Polars Type: str
This column is not mandatory.
Examples:
20260831402026090112
PRICE_REVISION
SubjectToReview, Indeterminate, Accepted or Rejected
SQL Type: VARCHAR2(30)
Polars Type: str
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(
"NRM_DATETIME",
"SETTLEMENTDATE",
"EVENT_ACTIVATED_DI",
"EVENT_DEACTIVATED_DI",
).str.strptime(pl.Datetime, dt_s_fmt),
)
# Polars can't cast string straight to bool. Need to go via something else.
.cast({"NRM_LOOP_FLAG": pl.UInt8})
.cast(
{
"DIRECTIONAL_INTERCONNECTORID": str,
"CUMUL_NEGRESIDUE_AMOUNT": pl.Float64,
"CUMUL_NEGRESIDUE_PREV_TI": pl.Float64,
"DI_NOTBINDING_COUNT": int, # or pl.Int8
"DI_VIOLATED_COUNT": int, # or pl.Int8
"NEGRESIDUE_CURRENT_TI": pl.Float64,
"NEGRESIDUE_PD_NEXT_TI": pl.Float64,
"NRM_ACTIVATED_FLAG": int, # or pl.Int8
"NRM_LOOP_FLAG": pl.Boolean,
"NRMCONSTRAINT_BLOCKED_FLAG": int, # or pl.Int8
"PREDISPATCHSEQNO": str,
"PRICE_REVISION": str,
}
)
# Deduplicate
# We want one row per ['DIRECTIONAL_INTERCONNECTORID', 'NRM_DATETIME', 'SETTLEMENTDATE']
# Tie-breaker: greatest value of ['SETTLEMENTDATE', 'NRM_DATETIME', 'DIRECTIONAL_INTERCONNECTORID']
.sort(
["SETTLEMENTDATE", "NRM_DATETIME", "DIRECTIONAL_INTERCONNECTORID"],
descending=False,
)
.unique(
subset=["DIRECTIONAL_INTERCONNECTORID", "NRM_DATETIME", "SETTLEMENTDATE"],
keep="last",
)
)
Nemosis
This table is not yet available in Nemosis.
Example File
From PUBLIC_ARCHIVE_NEGATIVE_RESIDUE_FILE01_202609010000.zip
| SETTLEMENTDATE | NRM_DATETIME | DIRECTIONAL_INTERCONNECTORID | NRM_ACTIVATED_FLAG | CUMUL_NEGRESIDUE_AMOUNT | CUMUL_NEGRESIDUE_PREV_TI | NEGRESIDUE_CURRENT_TI | NEGRESIDUE_PD_NEXT_TI | PRICE_REVISION | PREDISPATCHSEQNO | EVENT_ACTIVATED_DI | EVENT_DEACTIVATED_DI | DI_NOTBINDING_COUNT | DI_VIOLATED_COUNT | NRMCONSTRAINT_BLOCKED_FLAG | NRM_LOOP_FLAG |
| 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | NSW1_QLD1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | NSW1_VIC1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | QLD1_NSW1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | SA1_VIC1 | 0 | -895.74 | 0 | -895.74 | -1034.61 | 2026083140 | 3 | 0 | |||||
| 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | TAS1_VIC1 | 0 | -1778.28 | 0 | -1778.28 | -1984.23 | 2026083140 | 3 | 0 | |||||
| 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | VIC1_NSW1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | VIC1_SA1 | 0 | 0 | -2656.21 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | VIC1_TAS1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| 2026/09/01 00:10:00 | 2026/09/01 00:00:17 | NSW1_QLD1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | ||||||
| 2026/09/01 00:10:00 | 2026/09/01 00:00:17 | NSW1_VIC1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | ||||||
| 2026/09/01 00:10:00 | 2026/09/01 00:00:17 | QLD1_NSW1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | ||||||
| ... |
| C | SETP.WORLD | DVD_NEGATIVE_RESIDUE | AEMO | PUBLIC | 2026/10/09 | 15:56:01 | 001791525361499 | MONTHLY_ARCHIVE | 001791525361499 | ||||||||||
| I | DISPATCH | NEGATIVE_RESIDUE | 2 | SETTLEMENTDATE | NRM_DATETIME | DIRECTIONAL_INTERCONNECTORID | NRM_ACTIVATED_FLAG | CUMUL_NEGRESIDUE_AMOUNT | CUMUL_NEGRESIDUE_PREV_TI | NEGRESIDUE_CURRENT_TI | NEGRESIDUE_PD_NEXT_TI | PRICE_REVISION | PREDISPATCHSEQNO | EVENT_ACTIVATED_DI | EVENT_DEACTIVATED_DI | DI_NOTBINDING_COUNT | DI_VIOLATED_COUNT | NRMCONSTRAINT_BLOCKED_FLAG | NRM_LOOP_FLAG |
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | NSW1_QLD1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | NSW1_VIC1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | QLD1_NSW1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | SA1_VIC1 | 0 | -895.74 | 0 | -895.74 | -1034.61 | 2026083140 | 3 | 0 | |||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | TAS1_VIC1 | 0 | -1778.28 | 0 | -1778.28 | -1984.23 | 2026083140 | 3 | 0 | |||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | VIC1_NSW1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | VIC1_SA1 | 0 | 0 | -2656.21 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:05:00 | 2026/08/31 23:55:24 | VIC1_TAS1 | 0 | 0 | 0 | 0 | 0 | 2026083140 | 3 | 0 | |||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:10:00 | 2026/09/01 00:00:17 | NSW1_QLD1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | ||||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:10:00 | 2026/09/01 00:00:17 | NSW1_VIC1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | ||||||
| D | DISPATCH | NEGATIVE_RESIDUE | 2 | 2026/09/01 00:10:00 | 2026/09/01 00:00:17 | QLD1_NSW1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | ||||||
| ... | |||||||||||||||||||
| C | END OF REPORT | 1003 |
SETTLEMENTDATE,NRM_DATETIME,DIRECTIONAL_INTERCONNECTORID,NRM_ACTIVATED_FLAG,CUMUL_NEGRESIDUE_AMOUNT,CUMUL_NEGRESIDUE_PREV_TI,NEGRESIDUE_CURRENT_TI,NEGRESIDUE_PD_NEXT_TI,PRICE_REVISION,PREDISPATCHSEQNO,EVENT_ACTIVATED_DI,EVENT_DEACTIVATED_DI,DI_NOTBINDING_COUNT,DI_VIOLATED_COUNT,NRMCONSTRAINT_BLOCKED_FLAG,NRM_LOOP_FLAG
"2026/09/01 00:05:00","2026/08/31 23:55:24",NSW1_QLD1,0,0,0,0,0,,2026083140,,,3,0,,
"2026/09/01 00:05:00","2026/08/31 23:55:24",NSW1_VIC1,0,0,0,0,0,,2026083140,,,3,0,,
"2026/09/01 00:05:00","2026/08/31 23:55:24",QLD1_NSW1,0,0,0,0,0,,2026083140,,,3,0,,
"2026/09/01 00:05:00","2026/08/31 23:55:24",SA1_VIC1,0,-895.74,0,-895.74,-1034.61,,2026083140,,,3,0,,
"2026/09/01 00:05:00","2026/08/31 23:55:24",TAS1_VIC1,0,-1778.28,0,-1778.28,-1984.23,,2026083140,,,3,0,,
"2026/09/01 00:05:00","2026/08/31 23:55:24",VIC1_NSW1,0,0,0,0,0,,2026083140,,,3,0,,
"2026/09/01 00:05:00","2026/08/31 23:55:24",VIC1_SA1,0,0,-2656.21,0,0,,2026083140,,,3,0,,
"2026/09/01 00:05:00","2026/08/31 23:55:24",VIC1_TAS1,0,0,0,0,0,,2026083140,,,3,0,,
"2026/09/01 00:10:00","2026/09/01 00:00:17",NSW1_QLD1,0,0,0,0,0,,,,,3,0,,
"2026/09/01 00:10:00","2026/09/01 00:00:17",NSW1_VIC1,0,0,0,0,0,,,,,3,0,,
"2026/09/01 00:10:00","2026/09/01 00:00:17",QLD1_NSW1,0,0,0,0,0,,,,,3,0,,
...
C,SETP.WORLD,DVD_NEGATIVE_RESIDUE,AEMO,PUBLIC,2026/10/09,15:56:01,001791525361499,MONTHLY_ARCHIVE,001791525361499
I,DISPATCH,NEGATIVE_RESIDUE,2,SETTLEMENTDATE,NRM_DATETIME,DIRECTIONAL_INTERCONNECTORID,NRM_ACTIVATED_FLAG,CUMUL_NEGRESIDUE_AMOUNT,CUMUL_NEGRESIDUE_PREV_TI,NEGRESIDUE_CURRENT_TI,NEGRESIDUE_PD_NEXT_TI,PRICE_REVISION,PREDISPATCHSEQNO,EVENT_ACTIVATED_DI,EVENT_DEACTIVATED_DI,DI_NOTBINDING_COUNT,DI_VIOLATED_COUNT,NRMCONSTRAINT_BLOCKED_FLAG,NRM_LOOP_FLAG
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:05:00","2026/08/31 23:55:24",NSW1_QLD1,0,0,0,0,0,,2026083140,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:05:00","2026/08/31 23:55:24",NSW1_VIC1,0,0,0,0,0,,2026083140,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:05:00","2026/08/31 23:55:24",QLD1_NSW1,0,0,0,0,0,,2026083140,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:05:00","2026/08/31 23:55:24",SA1_VIC1,0,-895.74,0,-895.74,-1034.61,,2026083140,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:05:00","2026/08/31 23:55:24",TAS1_VIC1,0,-1778.28,0,-1778.28,-1984.23,,2026083140,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:05:00","2026/08/31 23:55:24",VIC1_NSW1,0,0,0,0,0,,2026083140,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:05:00","2026/08/31 23:55:24",VIC1_SA1,0,0,-2656.21,0,0,,2026083140,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:05:00","2026/08/31 23:55:24",VIC1_TAS1,0,0,0,0,0,,2026083140,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:10:00","2026/09/01 00:00:17",NSW1_QLD1,0,0,0,0,0,,,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:10:00","2026/09/01 00:00:17",NSW1_VIC1,0,0,0,0,0,,,,,3,0,,
D,DISPATCH,NEGATIVE_RESIDUE,2,"2026/09/01 00:10:00","2026/09/01 00:00:17",QLD1_NSW1,0,0,0,0,0,,,,,3,0,,
...
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 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 5 MB when zipped, 48 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 |
|---|---|---|
| DISPATCH | NEGATIVE_RESIDUE | 1 |
| DISPATCH | NEGATIVE_RESIDUE | 2 |
This means that the CSV files start with metadata columns:
or
Indexes
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: DISPATCH