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Volumn , Issue , 2013, Pages 151-158

Submeter based training of multi-class support vector machines for appliance recognition in home electricity consumption data

Author keywords

Appliance recognition; Energy monitoring; Multi class support vector machines; Smart metering; Submetering

Indexed keywords

CLASSIFICATION (OF INFORMATION); DOMESTIC APPLIANCES; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC POWER UTILIZATION; GREEN COMPUTING; SMART METERS; SMART POWER GRIDS;

EID: 84887645817     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0004380001510158     Document Type: Conference Paper
Times cited : (13)

References (17)
  • 2
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    • Hart, G.1
  • 6
    • 0029344193 scopus 로고
    • Transient event detection in spectral envelope estimates
    • Leeb, S. B., Shaw, S. R., and Kirtley, J. L. (1995). Transient Event Detection in Spectral Envelope Estimates. IEEE Transactions on Power Delivery, 10(3):1200-1210.
    • (1995) IEEE Transactions on Power Delivery , vol.10 , Issue.3 , pp. 1200-1210
    • Leeb, S.B.1    Shaw, S.R.2    Kirtley, J.L.3
  • 7
    • 80052401096 scopus 로고    scopus 로고
    • Applications of hierarchical support vector machines for identifying load operation in nonintrusive load monitoring systems
    • Lin, Y.-h. and Tsai, M.-S. (2011). Applications of hierarchical support vector machines for identifying load operation in nonintrusive load monitoring systems. 2011 9th World Congress on Intelligent Control and Automation, pages 688-693.
    • (2011) 2011 9th World Congress on Intelligent Control and Automation , pp. 688-693
    • Lin, Y.-H.1    Tsai, M.-S.2
  • 11
    • 0036085407 scopus 로고    scopus 로고
    • Experimental analysis of support vector machines with different kernels based on non-intrusive monitoring data
    • Onoda, T., Murata, H., and Ratsch, G. (2002). Experimental analysis of support vector machines with different kernels based on non-intrusive monitoring data. Neural Networks, 2002., pages 2186-2191.
    • (2002) Neural Networks, 2002 , pp. 2186-2191
    • Onoda, T.1    Murata, H.2    Ratsch, G.3
  • 12
    • 38149100320 scopus 로고    scopus 로고
    • At the flick of a switch: Detecting and classifying unique electrical events on the residential power line (nominated for the best paper award)
    • Krumm, J. Abowd, G. Seneviratne, A. and Strang, T. editors, volume 4717 of Lecture Notes in Computer Science, Springer Berlin Heidelberg
    • Patel, S., Robertson, T., Kientz, J., Reynolds, M., and Abowd, G. (2007). At the flick of a switch: Detecting and classifying unique electrical events on the residential power line (nominated for the best paper award). In Krumm, J., Abowd, G., Seneviratne, A., and Strang, T., editors, UbiComp 2007: Ubiquitous Computing, volume 4717 of Lecture Notes in Computer Science, pages 271-288. Springer Berlin Heidelberg.
    • (2007) UbiComp 2007: Ubiquitous Computing , pp. 271-288
    • Patel, S.1    Robertson, T.2    Kientz, J.3    Reynolds, M.4    Abowd, G.5
  • 13
    • 46149088021 scopus 로고    scopus 로고
    • Non-intrusive appliance load monitoring system based on a modern KWH-meter
    • Pihala, H. (1998). Non-intrusive appliance load monitoring system based on a modern kWh-meter. Technical Research Centre of Finland.
    • (1998) Technical Research Centre of Finland
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  • 15
    • 84864602128 scopus 로고    scopus 로고
    • Powerpedia: Changing energy usage with the help of a community-based smartphone application
    • Weiss, M., Staake, T., Mattern, F., and Fleisch, E. (2012). Powerpedia: changing energy usage with the help of a community-based smartphone application. Personal and Ubiquitous Computing, 16(6):655-664.
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  • 17
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    • Nonintrusive appliance load monitoring: Review and outlook
    • Zeifman, M. and Roth, K. (2011). Nonintrusive appliance load monitoring: Review and outlook. IEEE Transactions on Consumer Electronics, 57(1):76-84.
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    • Zeifman, M.1    Roth, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.