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Volumn 27, Issue 6, 1999, Pages 653-664

Power system state forecasting using artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOAD FORECASTING; NEURAL NETWORKS; STATE ESTIMATION;

EID: 0032640030     PISSN: 0731356X     EISSN: 15210502     Source Type: Journal    
DOI: 10.1080/073135699269091     Document Type: Article
Times cited : (12)

References (15)
  • 2
    • 0014851396 scopus 로고
    • A dynamic estimator for tracking the state of power system
    • Debs, A. S., Larson, R. E., 1970, A dynamic estimator for tracking the state of power system, IEEE Trans, on Poiver Systems, Vol. 89, No. 7, pp. 1670-1678.
    • (1970) IEEE Trans, on Poiver Systems , vol.89 , Issue.7 , pp. 1670-1678
    • Debs, A.S.1    Larson, R.E.2
  • 3
    • 0027627965 scopus 로고
    • Working with neural networks, IEEE Spectrum
    • Hammerstrom, D., 1993, Working with neural networks, IEEE Spectrum, July, pp. 46-53.
    • (1993) July , pp. 46-53
    • Hammerstrom, D.1
  • 4
    • 85032752004 scopus 로고
    • Progress in supervised neural networks
    • Hush, D. R., Home, G., 1993, Progress in supervised neural networks, IEEE Signal Processing Magazine, Vol. 10, No. 1, pp. 8-37.
    • (1993) IEEE Signal Processing Magazine , vol.10 , Issue.1 , pp. 8-37
    • Hush, D.R.1    Home, G.2
  • 5
    • 0004211060 scopus 로고
    • PTR Prentice Hall, Inc., Englewood Cliffs, NJ
    • Kung, S. Y., 1993, Digital Neural Networks, PTR Prentice Hall, Inc., Englewood Cliffs, NJ.
    • (1993) Digital Neural Networks
    • Kung, S.Y.1
  • 8
    • 0026711644 scopus 로고
    • An artificial neural-net based method for predicting power system voltage harmonics
    • Mori, H., Itou, K., Vematsu, H., Tsuzuki, S., 1992, An artificial neural-net based method for predicting power system voltage harmonics, IEEE Trans, on Power Delivery, Vol. 7, No. 1, pp. 402-409.
    • (1992) IEEE Trans, on Power Delivery , vol.7 , Issue.1 , pp. 402-409
    • Mori, H.1    Itou, K.2    Vematsu, H.3    Tsuzuki, S.4
  • 9
    • 0016995381 scopus 로고
    • Dynamic state estimation for electric power systems: Introduction of a trend factor and detection of innovation processor
    • Nishiya, K., Takasi, H., Hasegauwa, J., Koike, T., 1976, Dynamic state estimation for electric power systems: Introduction of a trend factor and detection of innovation processor, Elect. Ertgg., Vol. 96, No. 10, pp. 79-87.
    • (1976) Elect. Ertgg. , vol.96 , Issue.10 , pp. 79-87
    • Nishiya, K.1    Takasi, H.2    Hasegauwa, J.3    Koike, T.4
  • 11
    • 38249027424 scopus 로고
    • Dynamic state prediction and hierarchical filtering for power system state estimation
    • Rousseaux, P., Mallieu, D., Van Cutsem, T. H., Ribbens-Pavella, M., 1988, Dynamic state prediction and hierarchical filtering for power system state estimation, Automatica, Vol. 24, No. 5, pp. 595-618.
    • (1988) Automatica , vol.24 , Issue.5 , pp. 595-618
    • Rousseaux, P.1    Mallieu, D.2    Van Cutsem, T.H.3    Ribbens-Pavella, M.4
  • 14
    • 43949166301 scopus 로고
    • Artificial neural networks and their applications to power systems: A bibliographical survey
    • Vankayala, V. S., Rao, N. D., 1993, Artificial neural networks and their applications to power systems: A bibliographical survey, Electric Poiver Systems Research, Vol. 28, No. 1, pp. 67-79.
    • (1993) Electric Poiver Systems Research , vol.28 , Issue.1 , pp. 67-79
    • Vankayala, V.S.1    Rao, N.D.2
  • 15
    • 0029733071 scopus 로고    scopus 로고
    • Topology processing and static state estimation using artificial neural networks
    • Vinod Kumar, D. M., Srivastava, S. C., Shah, S., Mathur, S., 1996, Topology processing and static state estimation using artificial neural networks, Proc. IEE-C, Vol. 143, No. 1, pp. 99-105.
    • (1996) Proc. IEE-C , vol.143 , Issue.1 , pp. 99-105
    • Vinod Kumar, D.M.1    Srivastava, S.C.2    Shah, S.3    Mathur, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.