- Procedure Aggregate(TimeslotData, PeriodData, TimeTable, Type[, Locus])
Aggregate
With the procedure Aggregate
you can aggregate time-dependent data
from a calendar time scale (time slots) to a horizon time scale
(periods).
Aggregate(
TimeslotData, ! (input) an indexed identifier over a calendar
PeriodData, ! (output) an indexed identifier over a horizon
TimeTable, ! (input) an AIMMS time table
Type, ! (input) an element in the set AggregationTypes
[Locus] ! (optional) a value between 0 and 1
)
Arguments
- TimeslotData
An identifier (slice) containing the data to be aggregated. The domain sets in the index domain of this identifier should at least contain a calendar set, and all other sets should coincide with the domain of PeriodData.
- PeriodData
An identifier (slice) that on return will contain the aggregated data. The domain sets in the index domain of this identifier should at least contain a horizon set, and all other sets should coincide with the domain of TimeslotData.
- TimeTable
An indexed set in a calendar and defined over a horizon. This horizon and calendar should match with the index domains of TimeslotData and PeriodData.
- Type
An element of the pre-defined set
AggregationTypes
(summation
,average
,maximum
,minimum
, orinterpolation
).- Locus (only for
interpolation
type)A number between 0 and 1, that indicates at which moment in a period the quantity is to be measured.
See also
The procedure DisAggregate
. Time-dependent aggregation and disaggregation
is discussed in full detail in Data Conversion of Time-Dependent Identifiers of the Language Reference.