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Volumn 8, Issue 4, 2015, Pages 809-814

Nonintrusive load monitoring (NILM) performance evaluation: A unified approach for accuracy reporting

Author keywords

Accuracy; Energy conservation; Load disaggregation; Smart grid

Indexed keywords

ELECTRIC POWER TRANSMISSION NETWORKS; ENERGY CONSERVATION; SMART POWER GRIDS;

EID: 84937885738     PISSN: 1570646X     EISSN: 15706478     Source Type: Journal    
DOI: 10.1007/s12053-014-9306-2     Document Type: Article
Times cited : (172)

References (16)
  • 1
    • 84937838317 scopus 로고    scopus 로고
    • Author Name (2014). Commented out for double-blind review
    • Author Name (2014). Commented out for double-blind review.
  • 2
    • 78049468233 scopus 로고    scopus 로고
    • Enhancing electricity audits in residential buildings with nonintrusive load monitoring
    • Berges, M.E., Goldman, E., Matthews, H.S., Soibelman, L. (2010). Enhancing electricity audits in residential buildings with nonintrusive load monitoring. Journal of Industrial Ecology, 14(5), 844–858.
    • (2010) Journal of Industrial Ecology , vol.14 , Issue.5 , pp. 844-858
    • Berges, M.E.1    Goldman, E.2    Matthews, H.S.3    Soibelman, L.4
  • 4
    • 84896061652 scopus 로고    scopus 로고
    • Dong, H., Wang, B., Lu, C.T. (2013). Deep sparse coding based recursive disaggregation model for water conservation. In Proceedings of the Twenty-Third international joint conference on Artificial Intelligence (pp. 2804–2810): AAAI Press
    • Dong, H., Wang, B., Lu, C.T. (2013). Deep sparse coding based recursive disaggregation model for water conservation. In Proceedings of the Twenty-Third international joint conference on Artificial Intelligence (pp. 2804–2810): AAAI Press.
  • 5
    • 84864391557 scopus 로고    scopus 로고
    • Home electrical signal disaggregation for non-intrusive load monitoring (nilm) systems
    • Figueiredo, M, de Almeida, A., Ribeiro, B. (2012). Home electrical signal disaggregation for non-intrusive load monitoring (nilm) systems. Neurocomputing, 96(0), 66–73.
    • (2012) Neurocomputing , vol.96 , pp. 66-73
    • Figueiredo, M.1    de Almeida, A.2    Ribeiro, B.3
  • 8
    • 84937942127 scopus 로고    scopus 로고
    • Kolter, J., & Johnson, M. (2011). Redd: A public data set for energy disaggregation research. In Workshop on Data Mining Applications in Sustainability (SIGKDD) San Diego, CA
    • Kolter, J., & Johnson, M. (2011). Redd: A public data set for energy disaggregation research. In Workshop on Data Mining Applications in Sustainability (SIGKDD) San Diego, CA.
  • 10
    • 84937955999 scopus 로고    scopus 로고
    • Feature selection for knowledge discovery and data mining: Springer
    • Liu, H., & Motoda, H. (1998). Feature selection for knowledge discovery and data mining: Springer.
    • (1998) & Motoda, H
    • Liu, H.1
  • 11
    • 84937868109 scopus 로고    scopus 로고
    • Real-time embedded low-frequency load disaggregation. Ph.D. thesis, Simon Fraser University
    • Makonin, S. (2014). Real-time embedded low-frequency load disaggregation. Ph.D. thesis, Simon Fraser University, School of Computing Science.
    • (2014) School of Computing Science
    • Makonin, S.1
  • 12
    • 84937829634 scopus 로고    scopus 로고
    • Makonin, S., Bajic, I.V., Popowich, F. (2014). Efficient Sparse Matrix Processing for Nonintrusive Load Monitoring (NILM). In 2nd International Workshop on Non-Intrusive Load Monitoring
    • Makonin, S., Bajic, I.V., Popowich, F. (2014). Efficient Sparse Matrix Processing for Nonintrusive Load Monitoring (NILM). In 2nd International Workshop on Non-Intrusive Load Monitoring.
  • 14
    • 84868292476 scopus 로고    scopus 로고
    • Parson, O., Ghosh, S., Weal, M., Rogers, A. (2012). Non-intrusive load monitoring using prior models of general appliance types. In AAAI Conference on Artificial Intelligence
    • Parson, O., Ghosh, S., Weal, M., Rogers, A. (2012). Non-intrusive load monitoring using prior models of general appliance types. In AAAI Conference on Artificial Intelligence.
  • 15
    • 84861680876 scopus 로고    scopus 로고
    • Modern development of an adaptive non-intrusive appliance load monitoring system in electricity energy conservation
    • Tsai, M.S., & Lin, Y.H. (2012). Modern development of an adaptive non-intrusive appliance load monitoring system in electricity energy conservation. Applied Energy, 96(0), 55–73.
    • (2012) Applied Energy , vol.96 , pp. 55-73
    • Tsai, M.S.1    Lin, Y.H.2
  • 16
    • 79953198933 scopus 로고    scopus 로고
    • Nonintrusive appliance load monitoring: Review and outlook
    • Zeifman, M., & Roth, K. (2011). Nonintrusive appliance load monitoring: Review and outlook. IEEE Transactions on Consumer Electronics, 57(1), 76–84.
    • (2011) IEEE Transactions on Consumer Electronics , vol.57 , Issue.1 , pp. 76-84
    • Zeifman, M.1    Roth, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.