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Introduction
One of the most important properties of DELFT FEWS as a forecasting system is its ability to efficiently deal with large volumes of dynamic data. Dynamic data covers mainly time series data in various formats (scalar- 0D, vector – 1D, grid – 2D, and polygon data – 2D). Dynamic data also includes the management of model states produced by the system.
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To allow handling of time series data, the concept of a "Time Series Set" is introduced. A Time Series Set is used to retrieve and submit data to the database. In this chapter the concept of the time series set is explained.
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Types of time series
External and Simulated time series
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The time series type simulated historical should only be assigned to time series that have a relation to a previous time series through a model state. In all other cases, the time series is independent, and should be allocated simulated forecasting as time series type. |
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Time Series Sets
Any module in DELFT-FEWS that requires data from the database, or produces data that must be stored in the database, does so through the use of a complex data type referred to as the Time Series Set. A time series set can be compared to a query that is run against the database. It contains all the keys to uniquely identify the set of data to be retrieved.
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