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Volumn , Issue , 2001, Pages 2796-2801

Neighbor histories for short term electrical load forecasting

Author keywords

Neural Networks; Non linear Systems; Power Systems

Indexed keywords

ELECTRIC POWER PLANT LOADS; EMBEDDINGS; FORECASTING; LINEAR SYSTEMS; NEURAL NETWORKS; PARAMETER ESTIMATION; STANDBY POWER SYSTEMS;

EID: 84947484191     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.2001.7076354     Document Type: Conference Paper
Times cited : (1)

References (9)
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    • (1997) IEEE Transactions on Power Systems , vol.11 , Issue.4 , pp. 1736-1742
    • Chow, T.W.S.1    Leung, C.T.2
  • 4
    • 0032593004 scopus 로고    scopus 로고
    • Short-term load forecasting with local ANNA predictors
    • Drezga, I. and Rahman, S. Short-term load forecasting with local ANNA predictors. IEEE Transactions on Power Systems, vol. 14, no. 3, pp. 844-857, 1999.
    • (1999) IEEE Transactions on Power Systems , vol.14 , Issue.3 , pp. 844-857
    • Drezga, I.1    Rahman, S.2
  • 6
    • 35949006791 scopus 로고
    • Determining embedding dimension for phase-space reconstruction using a geometrical construction
    • Kennel, M. B., Brown, R. and Abarbanel, H. D. I. Determining embedding dimension for phase-space reconstruction using a geometrical construction. Phys. Rev. A, vol. 45, pp. 3403-3411, 1992.
    • (1992) Phys. Rev. A , vol.45 , pp. 3403-3411
    • Kennel, M.B.1    Brown, R.2    Abarbanel, H.D.I.3
  • 7
    • 84947473553 scopus 로고    scopus 로고
    • Prediccíon a Corto Plazo de la Demanda de la Energá Eléctrica con SICONEL.(in Spanish)
    • CDROM ja00 002. ps
    • Pavón, F. and Arahal, M. R., Prediccíon a Corto Plazo de la Demanda de la Energá Eléctrica con SICONEL. (in spanish) Actas de las XXI Jornadas de Automática, CDROM ja00 002. ps, 2000.
    • (2000) Actas de Las XXI Jornadas de Automática
    • Pavón, F.1    Arahal, M.R.2
  • 9
    • 0032022729 scopus 로고    scopus 로고
    • Neural Network design for small training sets of high dimension
    • Yuan, J. L. and Fine, T. L. Neural Network design for small training sets of high dimension. IEEE Transactions on Neural Networks, vol. 9, no. 2, pp. 266-380, 1998.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.2 , pp. 266-380
    • Yuan, J.L.1    Fine, T.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.