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Volumn 23, Issue 3, 2014, Pages 359-368

Non-intrusive appliance load monitoring with bagging classifiers

Author keywords

Ensembles; Nearest neighbour classification; NIALM; Random forests; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION TREES; ELECTRIC LOAD MANAGEMENT;

EID: 84936936786     PISSN: 13670751     EISSN: 13689894     Source Type: Journal    
DOI: 10.1093/jigpal/jzv016     Document Type: Article
Times cited : (8)

References (24)
  • 2
    • 15744384823 scopus 로고    scopus 로고
    • Genetic algorithm for pattern detection in NIALM systems
    • M. Baranski and J. Voss. Genetic algorithm for pattern detection in NIALM systems. In Systems, Man and Cybernetics (SMC) (4), 3462-3468, 2004.
    • (2004) Systems, Man and Cybernetics (SMC) , Issue.4 , pp. 3462-3468
    • Baranski, M.1    Voss, J.2
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine Learning, 45, 5-32, 2001.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 4
    • 58349119360 scopus 로고    scopus 로고
    • Load identification in neural networks for a nonintrusive monitoring of industrial electrical loads
    • Springer
    • H.-H. Chang, H.-T. Yang and C.-L. Lin. Load identification in neural networks for a nonintrusive monitoring of industrial electrical loads. In Computer Supported Cooperative Work in Design IV, pp. 664-674. Springer, 2008.
    • (2008) Computer Supported Cooperative Work in Design IV , pp. 664-674
    • Chang, H.-H.1    Yang, H.-T.2    Lin, C.-L.3
  • 6
    • 82455164229 scopus 로고    scopus 로고
    • New trends and applications on hybrid artificial intelligence systems
    • E. Corchado, M. Graña and M. Wozniak. New trends and applications on hybrid artificial intelligence systems. Neurocomputing, 75, 61-63, 2012.
    • (2012) Neurocomputing , vol.75 , pp. 61-63
    • Corchado, E.1    Graña, M.2    Wozniak, M.3
  • 8
    • 84893437547 scopus 로고    scopus 로고
    • On the regularization parameter selection for sparse code learning in electrical source separation
    • M. B. Figueiredo, B. Ribeiro and A. M. de Almeida. On the regularization parameter selection for sparse code learning in electrical source separation. In ICANNGA, pp. 277-286, 2013.
    • (2013) ICANNGA , pp. 277-286
    • Figueiredo, M.B.1    Ribeiro, B.2    de Almeida, A.M.3
  • 12
    • 0026970695 scopus 로고
    • Nonintrusive appliance load monitoring
    • G. W. Hart. Nonintrusive appliance load monitoring. Proceedings of the IEEE, 80, 1870-1891, 1992.
    • (1992) Proceedings of the IEEE , vol.80 , pp. 1870-1891
    • Hart, G.W.1
  • 15
    • 80052401096 scopus 로고    scopus 로고
    • Applications of hierarchical support vector machines for identifying load operation in nonintrusive load monitoring systems
    • Y.-H. Lin and M.-S. Tsai. Applications of hierarchical support vector machines for identifying load operation in nonintrusive load monitoring systems. In Intelligent Control and Automation (WCICA), pp. 688-693, 2011.
    • (2011) Intelligent Control and Automation (WCICA) , pp. 688-693
    • Lin, Y.-H.1    Tsai, M.-S.2
  • 19
    • 38149100320 scopus 로고    scopus 로고
    • At the flick of a switch: Detecting and classifying unique electrical events on the residential power line
    • S. Patel, T. Robertson, J. Kientz, M. Reynolds and G. Abowd. At the flick of a switch: Detecting and classifying unique electrical events on the residential power line. In UbiComp 2007:Ubiquitous Computing, pp. 271-288. 2007.
    • (2007) UbiComp 2007:Ubiquitous Computing , pp. 271-288
    • Patel, S.1    Robertson, T.2    Kientz, J.3    Reynolds, M.4    Abowd, G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.