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Volumn , Issue , 2014, Pages 71-78

Detecting household activity patterns from smart meter data

Author keywords

activity recognition; Demperster Shafer theory of evidence; disaggregation; smart meter

Indexed keywords

AGGREGATES; DOMESTIC APPLIANCES;

EID: 84908615474     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IE.2014.18     Document Type: Conference Paper
Times cited : (22)

References (18)
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    • Zeifman, M.1    Roth, K.2
  • 10
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    • Using the Dempster-Shafer theory of evidence with a revised lattice structure for activity recognition
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    • (2011) IEEE Transactions on Information Technology in Biomedicine , vol.15 , pp. 74-82
    • Liao, J.1    Bi, Y.2    Nugent, C.3
  • 11
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    • Activity recognition for smart homes using Dempster-Shafer theory of evidence based on a revised lattice structure
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    • Liao, J.1    Bi, Y.2    Nugent, C.3
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  • 15
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    • Non-intrusive load monitoring approaches for disaggregated energy sensing: A survey
    • Dec.
    • 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, Dec. 2012.
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.