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Volumn , Issue , 2010, Pages

Energy disaggregation via discriminative sparse coding

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); ENERGY UTILIZATION;

EID: 85162050500     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (305)

References (29)
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    • Hasler, S.1    Wersin, H.2    Korner, E.3
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    • Advanced non-intrusive monitoring of electric loads
    • C. Laughman, S. Leeb, and Lee. Advanced non-intrusive monitoring of electric loads. IEEE Power and Energy, 2003.
    • (2003) IEEE Power and Energy
    • Laughman, C.1    Leeb, S.2    Lee3
  • 20
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • B. A. Olshausen and D. J. Field. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature, 381:607-609, 1996.
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 25
    • 33746940919 scopus 로고    scopus 로고
    • Instrumentation for high performance nonintrusive electrical load monitoring
    • S. R. Shaw, C. B. Abler, R. F. Lepard, D. Luo, S. B. Leeb, and L. K. Norford. Instrumentation for high performance nonintrusive electrical load monitoring. ASME, 120(224), 1998.
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    • Shaw, S.R.1    Abler, C.B.2    Lepard, R.F.3    Luo, D.4    Leeb, S.B.5    Norford, L.K.6
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    • Using appliance signatures for monitoring residential loads at meter panel level
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    • Various. U.S. Energy Information Administration
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    • Model selection and estimation in regression with grouped variables
    • M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statisical Society, Series B, 68(1):49-67, 2007.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.