Paper Info
Title
Non-Intrusive Occupancy Monitoring using Smart Meters.
Abstract
Detailed information about a home's occupancy is necessary to implement many advanced energy-efficiency optimizations. However, monitoring occupancy directly is intrusive, typically requiring the deployment of multiple environmental sensors, e.g., motion, acoustic, CO2, etc. In this paper, we explore the potential for Non-Intrusive Occupancy Monitoring (NIOM) by using electricity data from smart meters to infer occupancy. We first observe that a home's pattern of electricity usage generally changes when occupants are present due to their interact with electrical loads. We empirically evaluate these interactions by monitoring ground truth occupancy in two homes, then correlating it with changes in statistical metrics of smart meter data, such as power's mean and variance, over short intervals. In particular, we use each metric's maximum value at night as a proxy for its maximum value in an unoccupied home, and then signal occupancy whenever the daytime value exceeds it. Our results highlight NIOM's potential and its challenges.
Year
DOI
Venue
2013
10.1145/2528282.2528294
BuildSys@SenSys
Keywords
Field
DocType
smart meter data,unoccupied home,non-intrusive occupancy monitoring,maximum value,smart meter,electricity data,smart meters,advanced energy-efficiency optimizations,electricity usage,ground truth occupancy,daytime value,energy,grid,electricity
Software deployment,Metre,Electricity,Simulation,Ground truth,Occupancy,Smart meter,Engineering,Grid
Conference
Citations 
PageRank 
References 
44
2.03
18
Authors
5
Name
Order
Citations
PageRank
Dong Chen1442.03
Sean Barker21887.93
Adarsh Subbaswamy3442.03
David Irwin456330.93
Prashant J. Shenoy56386521.30