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Volumn , Issue , 2013, Pages 66-75

Supero: A sensor system for unsupervised residential power usage monitoring

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED SENSOR; FINE-GRAINED POWER; HOME AREA NETWORK; INSTALLATION COSTS; NON-PROFESSIONAL USERS; SUPERVISED TRAININGS; TRAINING PROCESS; UNSUPERVISED MACHINE LEARNING;

EID: 84880114639     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerCom.2013.6526716     Document Type: Conference Paper
Times cited : (27)

References (23)
  • 3
    • 84880107162 scopus 로고    scopus 로고
    • "Insteon," http://www.insteon.net.
  • 4
    • 0026970695 scopus 로고
    • Nonintrusive appliance load monitoring
    • G. W. Hart, "Nonintrusive appliance load monitoring," Proceedings of IEEE, vol. 80, 1992.
    • (1992) Proceedings of IEEE , vol.80
    • Hart, G.W.1
  • 10
    • 0033343493 scopus 로고    scopus 로고
    • Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses
    • L. Farinaccio and R. Zmeureanu, "Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses," Energy and Buildings, vol. 30, no. 3, 1999.
    • (1999) Energy and Buildings , vol.30 , Issue.3
    • Farinaccio, L.1    Zmeureanu, R.2
  • 15
    • 84880112875 scopus 로고    scopus 로고
    • "The Energy Detective," http://www.theenergydetective.com.
  • 16
    • 46049113767 scopus 로고    scopus 로고
    • U.S. Dept. of Energy
    • U.S. Dept. of Energy, "Annual energy outlook," 2006.
    • (2006) Annual Energy Outlook
  • 18
    • 2542587466 scopus 로고    scopus 로고
    • Relationship-based clustering and visualization for high-dimensional data mining
    • A. Strehl and J. Ghosh, "Relationship-based clustering and visualization for high-dimensional data mining," INFORMS Journal on Computing, vol. 15, no. 2, 2003.
    • (2003) INFORMS Journal on Computing , vol.15 , Issue.2
    • Strehl, A.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.