메뉴 건너뛰기




Volumn 1, Issue , 2006, Pages 804-808

Research on hybrid ARIMA and support vector machine model in short term load forecasting

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOAD FORECASTING; MATHEMATICAL MODELS; PROBLEM SOLVING; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; TIME SERIES ANALYSIS;

EID: 34547537467     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2006.229     Document Type: Conference Paper
Times cited : (20)

References (12)
  • 2
    • 0024764917 scopus 로고
    • Analysis and Evaluation of Five Short-Term Load Forecasting Techniques
    • Oct
    • I. Moghram and S. Rahman, "Analysis and Evaluation of Five Short-Term Load Forecasting Techniques", IEEE Trans. Power systems, vol.4, no.4, pp. 1484-1494, Oct. 1989.
    • (1989) IEEE Trans. Power systems , vol.4 , Issue.4 , pp. 1484-1494
    • Moghram, I.1    Rahman, S.2
  • 3
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • V. N. Vapnik, "An overview of statistical learning theory", IEEE Trans, Neural Networks, vol. 10, no. 5, pp. 988-999, 1999.
    • (1999) IEEE Trans, Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 4
    • 21644444609 scopus 로고    scopus 로고
    • A Novel Approach for Short-term Load Forecasting Using Support Vector Machines
    • Liang Tian and Afzel Noore, "A Novel Approach for Short-term Load Forecasting Using Support Vector Machines", International Journal of Neural Systems, vol. 14, no. 5, pp. 329-335, 2004.
    • (2004) International Journal of Neural Systems , vol.14 , Issue.5 , pp. 329-335
    • Tian, L.1    Noore, A.2
  • 5
    • 0041523974 scopus 로고    scopus 로고
    • Combining support vector machine learning with the discrete consine transform in image compression
    • J. Robinson and V. Kecman, "Combining support vector machine learning with the discrete consine transform in image compression", IEEE Trans. Neural Networks, vol. 14, no. 4, pp.950-958, 2003.
    • (2003) IEEE Trans. Neural Networks , vol.14 , Issue.4 , pp. 950-958
    • Robinson, J.1    Kecman, V.2
  • 9
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • V. N. Vapnik, "An overview of statistical learning theory", IEEE Trans, Neural Networks, vol. 10, no. 5, pp. 988-999, 1999.
    • (1999) IEEE Trans, Neural Networks , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 10
    • 0037170654 scopus 로고    scopus 로고
    • Support vector machines for short-term electrical load forecasting
    • M. Mohandes, "Support vector machines for short-term electrical load forecasting", International Journal of Energy Research, vol. 26, no. 4, pp.335-345, 2002.
    • (2002) International Journal of Energy Research , vol.26 , Issue.4 , pp. 335-345
    • Mohandes, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.