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Volumn , Issue , 2011, Pages 49-50

Segmenting consumers using smart meter data

Author keywords

[No Author keywords available]

Indexed keywords

CONSUMPTION STATISTICS; DISTRIBUTIONAL CLUSTERING; ELECTRICITY MARKET; FINE GRAINS; MARKET SEGMENTATION; POWER DEMANDS;

EID: 84875135154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2434020.2434036     Document Type: Conference Paper
Times cited : (10)

References (6)
  • 2
    • 0003684449 scopus 로고    scopus 로고
    • The elements of statistical learning: Data mining, inference, and prediction
    • Springer
    • T. Hastie, R. Tibshirani, and J. Friedman. The elements of statistical learning: data mining, inference, and prediction. Springer series in statistics. Springer, 2009.
    • (2009) Springer Series in Statistics
    • Hastie, T.1    Tibshirani, R.2    Friedman, J.3
  • 4
    • 80053050073 scopus 로고    scopus 로고
    • Integrating renewable energy using data analytics systems: Challenges and opportunities
    • A. Krioukov, C. Goebel, S. Alspaugh, Y. Chen, D. E. Culler, and R. H. Katz. Integrating renewable energy using data analytics systems: Challenges and opportunities. IEEE Data Eng. Bull., 34(1):3-11, 2011.
    • (2011) IEEE Data Eng. Bull. , vol.34 , Issue.1 , pp. 3-11
    • Krioukov, A.1    Goebel, C.2    Alspaugh, S.3    Chen, Y.4    Culler, D.E.5    Katz, R.H.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.