Time Series Pattern Table

The Time Series Pattern table is used to define custom time patterns for data using key characters or a reference to a defined timeslice, which is a shorthand way to use symbols to define time.

 NOTE: Multiple Time Series Pattern tables may be checked in-study. When multiple tables are selected, Aurora will merge them together at the beginning of a run. It is recommended that entries for a specific ID be kept in one table.

For more information on how to specify a time series for a variable, see Entering a Time Series.

References to data series in the Data column of the Time Series Pattern table may have one of the following formats:

 

TP_ID or TP_ID|Data

where ID is the name of the pattern in the ID column and Data is the "Data " column.

Multiple data columns, with user-specified (or custom) column names, can be added and referenced using the following format:

 

TP_ID|CustomDataColumn

where CustomDataColumn is the name of user-added custom columns.

 

 NOTE: Multiple custom data columns can be added to a Time Series Pattern table, however a column called "Data" must exist in the table even when multiple data columns have been added.

COLUMNS INCLUDE

Data

Date From

Date To

ID

Primary Key

Holiday

Timeslice

 

Here is an example showing references to the Timeslice Definition Table defining values for two On and Off-peak time periods:

 

Input Tables

Time Series Pattern Table


For further assistance, please contact Aurora Support.

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