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Condition | Applicable Strategy Type | Fill Method | Number of Weeks | ||
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Interval Data Periodic Channel The periodic channel is configured as Non Meter Reading and each interval represents the consumption in that time period. | Data Gaps and Overdue Data | Period Average The system will...
Example If you specify 4 weeks, Sigma will calculate an averaged value to use based on the data for the equivalent time period in the last 4 weeks. Example scenario: if a half hour gap is detected on a Monday morning at 8am, Sigma will look at the previous 4 Mondays at 8am and use an average of those to fill the gap.
| Defaults to 4 Weeks | ||
Meter Reading Periodic Channel The periodic channel is configured as Meter Reading and each interval represents the advance since the last reading. | Data Gaps | Interpolation The system will...
Example The data should be received every half-hour and there is a gap for two half-hour periods.
Here, the readings for 07:30 and 08:00 are missing. The system determines that the difference between the pre (07:00) and post (08:30) readings is 60 units (110 - 50). This 60 units is then apportioned to work out what the advance needs to be for the two missing half-hour periods:
Here, the 20 units is added on from the prior read to fill the first missing half-hour. The 20 units is then added again to fill the second missing half-hour, and then 20 units added so that it will equal the first actual reading after the gap. | N/A | ||
Overdue Data | The system will apply the Period Average logic above, to fill the overdue period with estimated data based on the historical average for the equivalent periods of time. | Defaults to 4 Weeks |