From: PreCount: a predictive model for correcting real-time occupancy count data
Correction methods | Building cases | |||
---|---|---|---|---|
UNIVERSITY | MALL | LIBRARY | OFFICE | |
Raw count | 1.60 | 0.15 | 0.22 | 0.31 |
Naive | 1.53 | 0.12 | 0.17 | 0.12 |
PreCount_RFR | 0.62 | 0.05 | 0.14 | 0.10 |
PreCount_ADR | 0.85 | 0.09 | 0.15 | 0.11 |
Sampling rate (Minutes) | 1 | 15 | 60 | 1 |
Error reduction(%) | 60% | 58% | 36% | 68% |