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.
- Energy monitoring technologies inc, http://www.energymonitor.com/.Google Scholar
- TED: The Energy Detective, http://www.theenergydetective.com.Google Scholar
- L. Balzano and R. Nowak. Blind calibration of sensor networks. In ACM IPSN 2009. Google ScholarDigital Library
- C. Beckmann, S. Consolve, and A. LaMarca. Some Assembly Required: Supporting End-User Sensor Installation in Domestic Ubiquitous Computing Environments, In UbiComp 2004.Google Scholar
- S. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, 2004. Google ScholarDigital Library
- A. Burger. Meter, meter on the wall: Giving&taking from a smarter grid. triplepundit, 2007.Google Scholar
- D.K. Cheng. Field and Wave Electromagnetics. Prentice Hall, 1989.Google Scholar
- M. Chetty, D. Tran, and R.E. Grinter. Getting to green: understanding resource consumption in the home. In UbiComp 2008. Google ScholarDigital Library
- J. Dahl and L. Vandenberghe. CVXOPT. http://abel.ee.ucla.edu/cvxopt.Google Scholar
- S. Darby. The effectiveness of feedback on energy consumption: A review for DEFRA of the literature on metering, billing and direct displays. Tech. report, Environmental Change Institute, University of Oxford, 2006.Google Scholar
- Watts Up? Pro. http://www.wattsupmeters.com/.Google Scholar
- EPRI. Noninstrusive appliance load monitoring system (NIALMS): Beta-test results. Tech. report, 1997.Google Scholar
- J. Fogarty, C. Au, and S.E. Hudson. Sensing from the basement: A feasibility study of unobtrusive and low-cost home activity recognition. In ACM UIST 2006. Google ScholarDigital Library
- J. Froelich, K. Everitt, J. Fogarty, S. Patel, and J. Landay. Sensing opportunities for personalized feedback technology to reduce consumption. In the CHI workshop on Defining the Role of HCI in the Challenge of Sustainability, 2009.Google Scholar
- G. Hart. Nonintrusive appliance load monitoring. In Proc. of the IEEE, 80(12):1870--1891, Dec 1992.Google ScholarCross Ref
- Honeywell. Hall effect sensing and application. Tech. report.Google Scholar
- X. Jiang, S. Dawson-Haggerty, P. Dutta, and D. Culler. Design and implementation of a high-fidelity AC metering network. In ACM IPSN/SPOTS 2009. Google ScholarDigital Library
- Y. Kim, T. Schmid, Z.M. Charbiwala, J. Friedman, and M.B. Srivastava. NAWMS: Nonintrusive autonomous water monitoring system. In ACM SenSys 2008. Google ScholarDigital Library
- K.D. Lee. Electric load information system based on non-intrusive power monitoring. PhD thesis, MIT, 2003.Google Scholar
- S.B. Leeb, S.R. Shaw, and J.R. Kirtley Jr. Transient event detection in spectral envelope estimates for nonintrusive load monitoring. IEEE Trans. on Power Delivery, 10(3):1200--1210, Jul 1995.Google ScholarCross Ref
- A.H. McMakin, E.L. Malone, and R.E. Lundgren. Motivating residents to conserve energy without financial incentives. Environment and Behavior Journal, 2002.Google ScholarCross Ref
- MOSEK Inc. http://www.mosek.com.Google Scholar
- S.N. Patel, T. Robertson, J.A. Kientz, M.S. Reynolds, and G.D. Abowd. At the flick of a switch: Detecting and classifying unique electrical events on the residential power line. In UbiComp 2007. Google ScholarDigital Library
- P.C. Stern. Information, incentives, and proenvironmental consumer behavior. Journal of Consumer Policy, 1999.Google Scholar
- The Blue Line Company. The power cost monitor.Google Scholar
- K. Whitehouse and D. Culler. Calibration as parameter estimation in sensor networks. In WSNA 2002. Google ScholarDigital Library
- World Business Council for Sustainable Development. Energy efficiency in buildings: Business realities and opportunities. Tech. report, 2008.Google Scholar
Index Terms
- ViridiScope: design and implementation of a fine grained power monitoring system for homes
Recommendations
A longitudinal study of vibration-based water flow sensing
We present a long-term and cross-sectional study of a vibration-based water flow rate monitoring system in practical environments and scenarios. In our earlier research, we proved that a water flow monitoring system with vibration sensors is feasible by ...
Elderly Assistance Using Wearable Sensors by Detecting Fall and Recognizing Fall Patterns
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable ComputersFalling is a serious threat to the elderly people. One severe fall can cause hazardous problems like bone fracture or may lead to some permanent disability or even death. Thus, it has become the need of the hour to continuously monitor the activities of ...
NAWMS: nonintrusive autonomous water monitoring system
SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systemsWater is nature's most precious resource and growing demand is pushing fresh water supplies to the brink of non-renewability. New technological and social initiatives that enhance conservation and reduce waste are needed. Providing consumers with fine-...
Comments