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Volumn 2005, Issue , 2005, Pages 356-363

v-SVM for transient stability assessment in power systems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; COMPUTER PROGRAMMING; FUNCTIONS; MATHEMATICAL PROGRAMMING; NEURAL NETWORKS; PARAMETER ESTIMATION; PROBLEM SOLVING;

EID: 33744933446     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (13)
  • 4
    • 0033703149 scopus 로고    scopus 로고
    • Transient stability assessment using artificial neural networks
    • B. Bandyopadhyay and N K Sinha, editors. Goa, India
    • S. Krishna and K. R. Padiyar, "Transient Stability Assessment using Artificial Neural Networks", Proceedings of IEEE International Conference on Industrial Technology, B. Bandyopadhyay and N K Sinha, editors. Goa, India, 2000, 2, pp. 627-632.
    • (2000) Proceedings of IEEE International Conference on Industrial Technology , vol.2 , pp. 627-632
    • Krishna, S.1    Padiyar, K.R.2
  • 5
    • 0032649511 scopus 로고    scopus 로고
    • Application of a novel fuzzy neural networks to real-time transient stability swings prediction based on synchronized measurements
    • Chih-wen Liu, Mu-chun Su, Shuenn-shing Taay and Yi-jen Wang, "Application of a novel fuzzy neural networks to real-time transient stability swings prediction based on synchronized measurements", IEEE Trans. Power System, 1999, vol.14, no.2, pp. 685-692.
    • (1999) IEEE Trans. Power System , vol.14 , Issue.2 , pp. 685-692
    • Liu, C.-W.1    Su, M.-C.2    Taay, S.-S.3    Wang, Y.-J.4
  • 8
    • 1542361543 scopus 로고    scopus 로고
    • Power system transient stability assessment based on statistical learning theory
    • Tao Xu, Renmu He, Peng Wang and Dongjie Xu, "Power system transient stability assessment based on statistical learning theory (in Chinese)", Proceedings of the CSEE, 2003, vol. 23, no.11, pp. 51-55.
    • (2003) Proceedings of the CSEE , vol.23 , Issue.11 , pp. 51-55
    • Xu, T.1    He, R.2    Wang, P.3    Xu, D.4
  • 9
    • 2542625918 scopus 로고    scopus 로고
    • Support vector machines for transient stability analysis of large-scale power systems
    • L. S. Moulin, A. P. A. daSilva, M. A. El-Sharkawi and R. J. MarksII, "Support Vector Machines for Transient Stability Analysis of Large-Scale Power Systems", IEEE Trans. on Power Systems, 2004,vol. 19, no. 2, pp. 818-825.
    • (2004) IEEE Trans. on Power Systems , vol.19 , Issue.2 , pp. 818-825
    • Moulin, L.S.1    Dasilva, A.P.A.2    El-Sharkawi, M.A.3    Marksii, R.J.4
  • 10
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Royal Holloway College, University of London
    • A. Smola and B. Schölkopf, "A tutorial on support vector regression", NeuroCOLT2 Technical Report NC-TR-1998-030, Royal Holloway College, University of London, 1998.
    • (1998) NeuroCOLT2 Technical Report , vol.NC-TR-1998-030
    • Smola, A.1    Schölkopf, B.2
  • 13
    • 0035118981 scopus 로고    scopus 로고
    • Input dimension reduction in neural network training for transient stability assessment
    • Qi Zhang, Zhenxiang Han, Shaojie Cao and Xueping Gu, "Input dimension reduction in neural network training for transient stability assessment (in Chinese)" Automation of Electric Power system, 2001,vol. 25, no. 2, pp. 32-35.
    • (2001) Automation of Electric Power System , vol.25 , Issue.2 , pp. 32-35
    • Zhang, Q.1    Han, Z.2    Cao, S.3    Gu, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.