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Volumn 3512, Issue , 2005, Pages 1018-1026

Load forecasting using fixed-size least squares support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOAD MANAGEMENT; ENTROPY; MAPPING; MATHEMATICAL MODELS; MATRIX ALGEBRA; NONLINEAR SYSTEMS; PROBLEM SOLVING; SAMPLING;

EID: 25144508540     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_125     Document Type: Conference Paper
Times cited : (32)

References (18)
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    • Espinoza, M., Joye, C., Belmans, R., and De Moor, B. "Short Term Load Forecasting, Profile Identification and Customer Segmentation: A Methodology based on periodic time series," Internal Report 04-141, ESAT-SISTA, K.U.Leuven, 2004.
    • (2004) Internal Report , vol.4 , Issue.141
    • Espinoza, M.1    Joye, C.2    Belmans, R.3    De Moor, B.4
  • 5
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    • Fixed size least squares support vector machines: A Large scale application in electrical load forecasting
    • ESAT-SISTA, K.U.Leuven
    • Espinoza, M., Suykens, J.A.K. and De Moor, B. "Fixed Size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting," Internal Report 03-92, ESAT-SISTA, K.U.Leuven, 2003.
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    • Espinoza, M.1    Suykens, J.A.K.2    De Moor, B.3
  • 6
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    • 24-h electrical load data-A sequential or partitioned time series?
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    • Girolami, M.1
  • 8
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    • Generalized cross-validation: A method for choosing a good ridge regression parameter
    • Golub, G., Heath, M. and Wahba, G. "Generalized cross-validation: A method for choosing a good ridge regression parameter," Technometrics 21, 215-223, 1979.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.