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MTPASA_REGIONSUMMARY

Region Results summary over aggregation periods.

Package

MTPASA

Visibility

Public

Table schema

Column Official MMS Datatype GR-MMS Datatype Comment
RUN_DATETIME datetime(3) 🔑 datetime2(0) 🔑 Date processing of the run begins.
RUN_NO numeric(4, 0) 🔑 smallint 🔑 Unique run id.
RUNTYPE varchar(20) 🔑 varchar(20) 🔑 Type of run. Always RELIABILITY
DEMAND_POE_TYPE varchar(20) 🔑 varchar(20) 🔑 Demand POE type used. Value are POE10, POE50
AGGREGATION_PERIOD varchar(20) 🔑 varchar(20) 🔑 Period data is aggregated over. Values are YEAR, MONTH
PERIOD_ENDING datetime(3) 🔑 datetime2(0) 🔑 Datetime of day at end of period (i.e. last day of month or year reported)
REGIONID varchar(20) 🔑 varchar(20) 🔑 The unique region identifier
NATIVEDEMAND numeric(12, 2) numeric(12, 2) Native demand calculated from Operational As Generated trace supplied by Energy Forecasting
USE_PERCENTILE10 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 10th percentile of iterations and reference years (MWh)
USE_PERCENTILE20 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 20th percentile of iterations and reference years (MWh)
USE_PERCENTILE30 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 30th percentile of iterations and reference years (MWh)
USE_PERCENTILE40 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 40th percentile of iterations and reference years (MWh)
USE_PERCENTILE50 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 50th percentile of iterations and reference years (MWh)
USE_PERCENTILE60 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 60th percentile of iterations and reference years (MWh)
USE_PERCENTILE70 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 70th percentile of iterations and reference years (MWh)
USE_PERCENTILE80 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 80th percentile of iterations and reference years (MWh)
USE_PERCENTILE90 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 90th percentile of iterations and reference years (MWh)
USE_PERCENTILE100 numeric(12, 2) numeric(12, 2) Unserved energy period amount at the 100th percentile of iterations and reference years (MWh)
USE_AVERAGE numeric(12, 2) numeric(12, 2) Average period unserved energy across iterations and reference years (MWh)
NUMBEROFITERATIONS numeric(12, 2) numeric(12, 2) Total number of iterations and reference years performed
USE_NUMBEROFITERATIONS numeric(12, 2) numeric(12, 2) Number of iterations and reference years showing unserved energy
USE_EVENT_MAX numeric(12, 2) numeric(12, 2) Maximum unserved energy event size across all half hourly intervals and iterations and reference years that have unserved energy>0 (MW)
USE_EVENT_UPPERQUARTILE numeric(12, 2) numeric(12, 2) Upper quartile unserved energy event size across all half hourly intervals and iterations and reference years that have unserved energy>0 (MW)
USE_EVENT_MEDIAN numeric(12, 2) numeric(12, 2) Median unserved energy event size across all half hourly intervals and iterations and reference years that have unserved energy>0 (MW)
USE_EVENT_LOWERQUARTILE numeric(12, 2) numeric(12, 2) Lower quartile unserved energy event size across all half hourly intervals and iterations and reference years that have unserved energy>0 (MW)
USE_EVENT_MIN numeric(12, 2) numeric(12, 2) Minimum unserved energy event size across all half hourly intervals and iterations and reference years that have unserved energy>0 (MW)
WEIGHT numeric(16, 6) numeric(16, 6) Fixed Values of 0.696 for 50 POE and 0.304 for 10 POE.
USE_WEIGHTED_AVG numeric(16, 6) numeric(16, 6) Weighted average USE per region = (USE_AVERAGE_POE10/NATIVE_DEMAND_POE_10WEIGHT_POE_10 + USE_AVERAGE_POE50/NATIVE_DEMAND_POE_50WEIGHT_POE_50)*100
LRC numeric(12, 2) numeric(12, 2) LRC Condition reported (Value=1) if USE_WEIGHTED_AVG >= 0.002% otherwise (Value=0)
LASTCHANGED datetime(3) datetime2(0) Last date and time record changed

Official MMS data model indexes

Index name Index type Index columns (in order)
MTPASA_REGIONSUMMARY_PK clustered, unique, primary key RUN_DATETIME, RUN_NO, RUNTYPE, DEMAND_POE_TYPE, AGGREGATION_PERIOD, PERIOD_ENDING, REGIONID

GR-MMS data model indexes

Index name Index type Index columns (in order)
PK_MTPASA_REGIONSUMMARY clustered, unique, primary key RUN_DATETIME, RUN_NO, RUNTYPE, DEMAND_POE_TYPE, AGGREGATION_PERIOD, PERIOD_ENDING, REGIONID

Historical-MMS data model indexes

Index name Index type Index columns (in order)
MTPASA_REGIONSUMMARY_PK clustered, unique, primary key RUN_DATETIME, RUN_NO, RUNTYPE, DEMAND_POE_TYPE, AGGREGATION_PERIOD, PERIOD_ENDING, REGIONID