메뉴 건너뛰기




Volumn , Issue , 2013, Pages 3180-3185

Unsupervised adaptive non-intrusive load monitoring system

Author keywords

Gaussian mixture models; Nilm; Nonintrusive appliance load monitoring; Smart grid; Unsupervised adaptive clustering

Indexed keywords

ADAPTIVE CLUSTERING; GAUSSIAN MIXTURE MODEL; NILM; NON-INTRUSIVE APPLIANCE LOAD MONITORING; SMART GRID;

EID: 84893562162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMC.2013.542     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 3
    • 0026970695 scopus 로고
    • Nonintrusive appliance load monitoring
    • G. W. Hart, "Nonintrusive appliance load monitoring, " Proceedings of the IEEE, vol. 80, pp. 1870-1891, 1992.
    • (1992) Proceedings of the IEEE , vol.80 , pp. 1870-1891
    • Hart, G.W.1
  • 4
    • 33244458425 scopus 로고    scopus 로고
    • Neural-network-based signature recognition for harmonic source identification
    • D. Srinivasan, W. Ng, and A. Liew, "Neural-network-based signature recognition for harmonic source identification, " Power Delivery, IEEE Transactions on, vol. 21, pp. 398-405, 2006.
    • (2006) Power Delivery, IEEE Transactions on , vol.21 , pp. 398-405
    • Srinivasan, D.1    Ng, W.2    Liew, A.3
  • 11
    • 0033884858 scopus 로고    scopus 로고
    • Speaker verification using adapted gaussian mixture models
    • D. A. Reynolds, T. F. Quatieri, and R. B. Dunn, "Speaker verification using adapted Gaussian mixture models, " Digital signal processing, vol. 10, pp. 19-41, 2000.
    • (2000) Digital Signal Processing , vol.10 , pp. 19-41
    • Reynolds, D.A.1    Quatieri, T.F.2    Dunn, R.B.3
  • 14
    • 70350594336 scopus 로고    scopus 로고
    • Sequential EM for unsupervised adaptive gaussian mixture model based classifier
    • ed: Springer
    • B. A. S. Hasan and J. Q. Gan, "Sequential EM for unsupervised adaptive Gaussian mixture model based classifier, " in Machine Learning and Data Mining in Pattern Recognition, ed: Springer, 2009, pp. 96-106.
    • (2009) Machine Learning and Data Mining in Pattern Recognition , pp. 96-106
    • Hasan, B.A.S.1    Gan, J.Q.2
  • 15
    • 79955089759 scopus 로고    scopus 로고
    • An experimental study on electrical signature identification of non-intrusive load monitoring (NILM) systems
    • ed: Springer
    • M. B. Figueiredo, A. De Almeida, and B. Ribeiro, "An experimental study on electrical signature identification of non-intrusive load monitoring (NILM) systems, " in Adaptive and Natural Computing Algorithms, ed: Springer, 2011, pp. 31-40.
    • (2011) Adaptive and Natural Computing Algorithms , pp. 31-40
    • Figueiredo, M.B.1    De Almeida, A.2    Ribeiro, B.3
  • 16
    • 84871704971 scopus 로고    scopus 로고
    • Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey
    • A. Zoha, A. Gluhak, M. A. Imran, and S. Rajasegarar, "Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey, " Sensors, vol. 12, pp. 16838-16866, 2012.
    • (2012) Sensors , vol.12 , pp. 16838-16866
    • Zoha, A.1    Gluhak, A.2    Imran, M.A.3    Rajasegarar, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.