Synthetic Time Series

Synthetic Time Series (STS) is a way to combine various input time series, constants and operators, to create completely new time series.

For example can we use the expression 24 * TS{space='foo', externalId='production/hour'} to convert from hourly to daily production rates.

But STS is not limited to simple conversions.

  • Functions of time series sin(pow(TS{space='foo', externalId='bar'}, 2)).
  • Aggregations of time series TS{space='foo', externalId='bar', aggregate='average', granularity='1h'}+TS{space='foo', externalId='baz'}
  • Convert time series with unitExternalId to another unit TS{space='foo', externalId='temp_c', targetUnit='temperature:deg_f'}.

To learn more about synthetic time series please follow our guide.

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