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Volumn 19, Issue 2, 2004, Pages 1232-1239

Load pattern-based classification of electricity customers

Author keywords

Clustering algorithms; Customer classes; Load patterns; Self organizing maps

Indexed keywords

ALGORITHMS; CUSTOMER SATISFACTION; ELECTRIC LOAD DISTRIBUTION; ELECTRIC LOAD FLOW; ELECTRICITY; SELF ORGANIZING MAPS;

EID: 2542554224     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2004.826810     Document Type: Article
Times cited : (174)

References (11)
  • 3
    • 0032635350 scopus 로고    scopus 로고
    • Application of statistical and neural approaches to the daily load profile modeling in power distribution systems
    • New Orleans, LA, Apr. 11-16
    • A. Nazarko and Z. A. Styczynski, "Application of statistical and neural approaches to the daily load profile modeling in power distribution systems," in Proc. IEEE Transm. Dist. Conf., vol. 1, New Orleans, LA, Apr. 11-16, 1999, pp. 320-325.
    • (1999) Proc. IEEE Transm. Dist. Conf. , vol.1 , pp. 320-325
    • Nazarko, A.1    Styczynski, Z.A.2
  • 7
    • 0026869983 scopus 로고
    • Combined use of unsupervised and supervised learning for dynamic security assessment
    • May
    • Y.-H. Pao and D. J. Sobajic, "Combined use of unsupervised and supervised learning for dynamic security assessment," IEEE Trans. Power Syst., vol. 7, pp. 878-884, May 1992.
    • (1992) IEEE Trans. Power Syst. , vol.7 , pp. 878-884
    • Pao, Y.-H.1    Sobajic, D.J.2
  • 11
    • 0006519201 scopus 로고    scopus 로고
    • Helsinki, Finland: Helsinki Univ. Technology
    • SOM Toolbox for Matlab 5. Helsinki, Finland: Helsinki Univ. Technology, 2000.
    • (2000) SOM Toolbox for Matlab 5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.