Paper Info
Title
ViridiScope: design and implementation of a fine grained power monitoring system for homes
Abstract
A key prerequisite for residential energy conservation is knowing when and where energy is being spent. Unfortunately, the current generation of energy reporting devices only provide partial and coarse grained information or require expensive professional installation. This limitation stems from the presumption that calculating per-appliance consumption requires per-appliance current measurements. However, since appliances typically emit measurable signals when they are consuming energy, we can estimate their consumption using indirect sensing. This paper presents ViridiScope, a fine-grained power monitoring system that furnishes users with an economical, self-calibrating tool that provides power consumption of virtually every appliance in the home. ViridiScope uses ambient signals from inexpensive sensors placed near appliances to estimate power consumption, thus no in-line sensor is necessary. We use a model-based machine learning algorithm that automates the sensor calibration process. Through experiments in a real house, we show that ViridiScope can estimate the end-point power consumption within 10% error.
Year
DOI
Venue
2009
10.1145/1620545.1620582
UbiComp
Keywords
Field
DocType
residential energy conservation,fine grained power monitoring,consuming energy,per-appliance current measurement,fine-grained power monitoring system,in-line sensor,end-point power consumption,power consumption,current generation,per-appliance consumption,inexpensive sensor,energy conservation,machine learning
Energy conservation,Monitoring system,Computer science,Real-time computing,Presumption,Calibration,Power consumption,Embedded system
Conference
Citations 
PageRank 
References 
119
13.97
9
Authors
4
Search Limit
100119
Name
Order
Citations
PageRank
Younghun Kim144638.54
Thomas Schmid240740.11
Zainul M. Charbiwala319120.89
Mani Srivastava4130521317.38