When
Time Merging Is Required
Input data files are
subject to very few restrictions on date and time format and information.
However, before a dataset can be used by a model, it must be reformatted
as follows:
- Data must be “row synchronous” (that is, all data in a single row of the file must be associated with the same sampling time)
- If the process includes time delays, the time interval between rows must be made constant.
- Any breaks in the data must be marked.
Time merging is a process that converts a dataset
to this required format by expanding and/or compressing the data,
as necessary. Time merging also fills in data to replace points
with a bad status and can be used to extrapolate data after the
ending date/time of a dataset.
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