Doc# E107706 2 - 14
2: Meter Overview
Electro Industries/GaugeTech
The Leader In Power Monitoring and Smart Grid Solutions
Electro Industries/GaugeTech
The Leader In Power Monitoring and Smart Grid Solutions
At 12:10, we have the average of the subintervals from 11:55-12:00, 12:00-12:05
and 12:05-12:10. In five minutes (12:15), we will have an average of the subinter-
vals 12:00-12:05 and 12:05-12:10 (which we know) and 12:10-12:15 (which we do
not yet know). As a guess, we will use the last subinterval (12:05-12:10) as an
approximation for the next subinterval (12:10-12:15). As a further refinement, we
will assume that the next subinterval might have a higher average (120%) than the
last subinterval. As we progress into the subinterval, (for example, up to 12:11), the
Predictive Window Demand will be the average of the first two subintervals (12:00-
12:05, 12:05-12:10), the actual values of the current subinterval (12:10-12:11) and
the prediction for the remainder of the subinterval, 4/5 of the 120% of the 12:05-
12:10 subinterval.
# of Subintervals = n
Subinterval Length = Len
Partial Subinterval Length = Cnt
Prediction Factor = Pct
Table 1:
Sub
n
Sub
1
Sub
0
Partial Predict
Len Len Len Cnt Len
Cnt
Value
Partial
Cnt
i
i
¦
1
0
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