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Situation: Have a long period of time where beestat has no data. Say...half a day. With Gap-fill, on a day scale, the other half of the day is going to get the runtime average from the rest of the day. This isn't very accurate.
A quick solution is to disable gap fill for really long durations. A better solution may be to use a metric like runtime/degree day to fill in the gaps. Would have to estimate the missing degree-days is all.
The text was updated successfully, but these errors were encountered:
Situation: Have a long period of time where beestat has no data. Say...half a day. With Gap-fill, on a day scale, the other half of the day is going to get the runtime average from the rest of the day. This isn't very accurate.
A quick solution is to disable gap fill for really long durations. A better solution may be to use a metric like runtime/degree day to fill in the gaps. Would have to estimate the missing degree-days is all.
The text was updated successfully, but these errors were encountered: