메뉴 건너뛰기




Volumn 4132 LNCS - II, Issue , 2006, Pages 709-716

Electricity load forecasting using self organizing maps

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ELECTRIC INDUSTRY; LEARNING SYSTEMS; MATHEMATICAL MODELS; NONLINEAR SYSTEMS; SELF ORGANIZING MAPS;

EID: 33749825584     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_74     Document Type: Conference Paper
Times cited : (6)

References (20)
  • 3
    • 0030196823 scopus 로고    scopus 로고
    • Comparison of adaptive methods for function estimation from samples
    • July
    • V. Cherkassky, D. Gehring, and F. Mulier. Comparison of adaptive methods for function estimation from samples. IEEE Transactions on Neural Networks, 7(4):969-984, July 1996.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , Issue.4 , pp. 969-984
    • Cherkassky, V.1    Gehring, D.2    Mulier, F.3
  • 4
    • 9144254003 scopus 로고    scopus 로고
    • Time series forecasting with SOM and local non-linear models- Application to the DAX30 index prediction
    • Hibikino (Japan), September
    • S. Dablemont, G. Simon, A. Lendasse, A. Ruttiens, F. Blayo, and M. Verleysen. Time series forecasting with SOM and local non-linear models- application to the DAX30 index prediction. In Workshop on Self-Organizing Maps (WSOM), pages 340-345, Hibikino (Japan), September 2003.
    • (2003) Workshop on Self-organizing Maps (WSOM) , pp. 340-345
    • Dablemont, S.1    Simon, G.2    Lendasse, A.3    Ruttiens, A.4    Blayo, F.5    Verleysen, M.6
  • 5
    • 0035248045 scopus 로고    scopus 로고
    • Neural networks for short-term load forecasting: A review and evaluation
    • February
    • H. S. Hippert, C. E. Pedreira, and R. C. Souza. Neural networks for short-term load forecasting: A review and evaluation. IEEE Transactions on Neural Networks, 16(1):44-55, February 2001.
    • (2001) IEEE Transactions on Neural Networks , vol.16 , Issue.1 , pp. 44-55
    • Hippert, H.S.1    Pedreira, C.E.2    Souza, R.C.3
  • 7
    • 0003410791 scopus 로고
    • Springer Verlag, Berlin, second edition
    • T. Kohonen. Self-Organizing Maps. Springer Verlag, Berlin, second edition, 1995.
    • (1995) Self-organizing Maps
    • Kohonen, T.1
  • 8
    • 0030289955 scopus 로고    scopus 로고
    • A neural network based technique for short-term forecasting of anomalous load periods
    • November
    • R. Lamedica, A. Prudenzi, M. Sforna, M. Caciotta, and V. O. Cencelli. A neural network based technique for short-term forecasting of anomalous load periods. IEEE Transactions on Power Systems, 11(4):1749-1756, November 1996.
    • (1996) IEEE Transactions on Power Systems , vol.11 , Issue.4 , pp. 1749-1756
    • Lamedica, R.1    Prudenzi, A.2    Sforna, M.3    Caciotta, M.4    Cencelli, V.O.5
  • 9
    • 0036059929 scopus 로고    scopus 로고
    • Prediction of electric load using kohonen maps- Application to the Polish electricity consumption
    • Anchorage, May
    • A. Lendasse, M. Cottrell, V. Wertz, and M. Verleysen. Prediction of electric load using kohonen maps- application to the Polish electricity consumption. In Proceedings of the American Control Conference, pages 3684-3689, Anchorage, May 2002.
    • (2002) Proceedings of the American Control Conference , pp. 3684-3689
    • Lendasse, A.1    Cottrell, M.2    Wertz, V.3    Verleysen, M.4
  • 11
    • 0029410705 scopus 로고
    • Self-organization as an iterative kernel smoothing process
    • F. Mulier and V. Cherkassky. Self-organization as an iterative kernel smoothing process. Neural Computation, 7:1165-1177, 1995.
    • (1995) Neural Computation , vol.7 , pp. 1165-1177
    • Mulier, F.1    Cherkassky, V.2
  • 12
    • 33749862986 scopus 로고    scopus 로고
    • E. Oja and S. Kaski, editors. chapter: Energy Functions for Self-Organizing Maps, Elsevier, Amsterdam
    • E. Oja and S. Kaski, editors. Kohonen Maps, chapter: Energy Functions for Self-Organizing Maps, pages 303-315. Elsevier, Amsterdam, 1999.
    • (1999) Kohonen Maps , pp. 303-315
  • 15
    • 0002457362 scopus 로고    scopus 로고
    • B. Schlkopf, C. J. C. Burges, and A. J. Smola, editors. MIT Press, Massachusetts
    • B. Schlkopf, C. J. C. Burges, and A. J. Smola, editors. Advances in Kernel Methods: Support Vector Learning, pages 243-253. MIT Press, Massachusetts, 1999.
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 243-253
  • 16
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • December
    • J. B. Tenenbaum, V. de Silva and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, December 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 18
    • 0010684318 scopus 로고    scopus 로고
    • Using the SOM and local models in time-series prediction
    • Helsinki University of Technology, Neural Networks Research Centre, Espoo, Finland
    • J. Vesanto. Using the SOM and local models in time-series prediction. In Proceedings of WSOM'97, Workshop on Self-Organizing Maps, Espoo, Finland, June 4-6, pages 209-214. Helsinki University of Technology, Neural Networks Research Centre, Espoo, Finland, 1997.
    • (1997) Proceedings of WSOM'97, Workshop on Self-Organizing Maps, Espoo, Finland, June 4-6 , pp. 209-214
    • Vesanto, J.1
  • 20
    • 0242624714 scopus 로고    scopus 로고
    • Clustering of the self-organizing map using a clustering index based on inter-cluster and intra-cluster density
    • S. Wu and T. S. W. S. Chow. Clustering of the self-organizing map using a clustering index based on inter-cluster and intra-cluster density. Pattern Recognition, 37:175-188, 2004.
    • (2004) Pattern Recognition , vol.37 , pp. 175-188
    • Wu, S.1    Chow, T.S.W.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.