Machine learning approaches for electric appliance classification

2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012

Volumn , Issue , 2012, Pages 740-745

  Zufferey, Damien ^a   Gisler, Christophe ^a,b   Omar Abou Khaled, ^b   Hennebert, Jean ^a,b  

^a UNIVERSITY OF FRIBOURG   (Switzerland)

^b UNIVERSITY OF APPLIED SCIENCES WESTERN SWITZERLAND   (Switzerland)

Author keywords

energy consumption; energy efficiency; machine learning algorithms; power system analysis computing; Signal processing; sustainable development

Indexed keywords

DATA ACQUISITION PROTOCOL; ELECTRIC CONSUMPTION; EVALUATION FRAMEWORK; FEATURE EXTRACTION AND CLASSIFICATION; INNOVATIVE SYSTEMS; LEARNING APPROACH; POWER SYSTEM ANALYSIS; SAVE ENERGY; SYSTEM ARCHITECTURES;

DOMESTIC APPLIANCES; ELECTRIC APPLIANCES; ENERGY EFFICIENCY; ENERGY UTILIZATION; FEATURE EXTRACTION; INFORMATION SCIENCE; LEARNING SYSTEMS; NETWORK ARCHITECTURE; SIGNAL PROCESSING; SUSTAINABLE DEVELOPMENT;

LEARNING ALGORITHMS;

EID: 84868547164     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPA.2012.6310651     Document Type: Conference Paper

References (14)

1. B. Neenan, "Residential Electricity Use Feedback: A Research Synthesis and Economic Framework, " Tech. Rep. February, Electric Power Research Institute, 2009.
2. Sarah Darby, "The Effectiveness Of Feedback On Energy Consumption-A review for DEFRA of the literature on metering, billing, and direct displays, " Environmental Change Institute, University Of Oxford, vol. Technical, no.April, pp. 21, 2006.
3. Markus Weiss, Thorsten Staake, Dominique Guinard, and Wolf Roediger, "eMeter: An interactive energy monitor, " Higher Education, pp. 3-4, 2009.
4. Dominique Guinard, Markus Weiss, and Vlad Trifa, "Are you Energy-Efficient: Sense it on the Web!, " Tech. Rep., Institute for Pervasive Computing, ETH Zürich, Zürich, 2009.
5. Energy Optimizers Limited, "Plogg wireless energy management http://www.plogginternational.com/, ".
6. A G Ruzzelli, C Nicolas, A Schoofs, and G M P O Hare, "Real-Time Recognition and Profiling of Appliances through a Single Electricity Sensor, " Tech. Rep., School of Computer Science and Informatics, University College Dublin, Ireland, Dublin, Ireland, 2010.
7. Gu-yuan Lin, Shih-chiang Lee, and Jane Yung-jen Hsu, "Sensing from the panel : Applying the Power Meters for Appliance Recognition, " Environment, 2009.
8. Gu-yuan Lin, Shih-chiang Lee, Jane Yung-jen Hsu, andWan-rong Jih, "Applying Power Meters for Appliance Recognition on the Electric Panel, " Design, p. 6, 2010.
9. W K Lee, G S K Fung, H Y Lam, F H Y Chan, and Mark Lucente, "Exploration on Load Signatures, " in Electrical Engineering, Hong Kong, 2004, number 725, p. 5.
10. Steven B. Leeb, Steven R. Shaw, and James L. Kirtley, "Transient Event Detection in Spectral Envelope Estimates for Nonintrusive LoadMonitoring, " IEEE Transactions on Power Delivery, vol. 10, no. 3, pp. 1200-1210, July 1995.
11. Shwetak N Patel, ThomasRobertson, Julie A Kientz, Matthew S Reynolds, and Gregory D Abowd, "At the Flick of a Switch : Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award), " Work, pp. 271-288, 2007.
12. Jean-Baptiste Durand, Laurent Bozzi, Gilles Celeux, and Christian Derquenne, "Analyse de courbes de consommation electrique par chaines de Markov cachees, " Revue de statistique appliquée, vol. 52, no. 4, pp. 71-91, 2004.
13. M. L. Marceau and R. Zmeureanu, "Nonintrusive load disaggregation computer program to estimate the energy consumption of major end uses in residential buildings, " Energy Conversion and Management, vol. 41, no. 13, pp. 1389-1403, Sept. 1999.
14. Y. Chen and M.R. Gupta, "Em demystified: An expectation-maximization tutorial, " Electrical Engineering, vol. 206, 2010.