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Volumn 4507 LNCS, Issue , 2007, Pages 862-869

Method for power system topology verification with use of radial basis function networks

Author keywords

Power system; Power system topology; Radial basis function networks

Indexed keywords

PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; STATE ESTIMATION; SYSTEMS ENGINEERING; TOPOLOGY; VERIFICATION;

EID: 38049123831     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73007-1_104     Document Type: Conference Paper
Times cited : (14)

References (15)
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    • An Artificial Neural Network-Based Expert System for Network Topological Error Identification
    • Perth, WA
    • Tian, T., Zhu, M., Zhang, B.: An Artificial Neural Network-Based Expert System for Network Topological Error Identification. In: IEEE International Conference on Neural Networks, Perth, WA. vol. 2, pp. 882-886 (1995)
    • (1995) IEEE International Conference on Neural Networks , vol.2 , pp. 882-886
    • Tian, T.1    Zhu, M.2    Zhang, B.3
  • 9
    • 0032137680 scopus 로고    scopus 로고
    • Online topology determination and bad data suppression in power system operation using artificial neural networks
    • Souza, J.C.S., Leite da Silva, A.M., Alves da Silva, A.P.: Online topology determination and bad data suppression in power system operation using artificial neural networks. IEEE Transactions on Power Systems 3, 796-803 (1998)
    • (1998) IEEE Transactions on Power Systems , vol.3 , pp. 796-803
    • Souza, J.C.S.1    Leite da Silva, A.M.2    Alves da Silva, A.P.3
  • 10
    • 1542465284 scopus 로고    scopus 로고
    • Power system topology identification using neural networks. Part I - line processing
    • Clearwater, Florida, USA, pp
    • Delimar, M., Hebel, Z., Pavić, I.: Power system topology identification using neural networks. Part I - line processing. In: The IASTED International Conference Power and Energy Systems, Clearwater, Florida, USA, pp. 129-133 (2001)
    • (2001) The IASTED International Conference Power and Energy Systems , pp. 129-133
    • Delimar, M.1    Hebel, Z.2    Pavić, I.3
  • 12
    • 1542621322 scopus 로고    scopus 로고
    • Power System Topology Identification Using Neural Networks. Part III-Unsupervised parts of the power system
    • Palm Springs, CA, USA, pp
    • Delimar, M., Pavić, I., Hebel, Z.: Power System Topology Identification Using Neural Networks. Part III-Unsupervised parts of the power system. In: The 7th IASTED International Multi-Conference Power and Energy Systems, Palm Springs, CA, USA, pp. 83- 87 (2003)
    • (2003) The 7th IASTED International Multi-Conference Power and Energy Systems , pp. 83-87
    • Delimar, M.1    Pavić, I.2    Hebel, Z.3
  • 13
    • 38049180639 scopus 로고    scopus 로고
    • Artificial neural networks in power system topology recognition
    • Delimar, M., Pavić, I., Hebel, Z.: Artificial neural networks in power system topology recognition. EUROCON 2,287-291 (2003)
    • (2003) EUROCON , vol.2 , pp. 287-291
    • Delimar, M.1    Pavić, I.2    Hebel, Z.3
  • 15
    • 0026116468 scopus 로고
    • Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks
    • Chen, S., Cowan, C.B., Grant, P.M.: Orthogonal Least Squares Learning Algorithm for Radial Basis Function Networks. IEEE Trans, on Neural Networks 2, 302-309 (1991)
    • (1991) IEEE Trans, on Neural Networks , vol.2 , pp. 302-309
    • Chen, S.1    Cowan, C.B.2    Grant, P.M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.