메뉴 건너뛰기




Volumn , Issue , 2007, Pages 47-52

Short-term load forecasting using wavelet transform and support vector machines

Author keywords

Discrete wavelet transform; Electric power systems; Short term load forecasting; Support vector machine; Support vector regression

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; COMPUTER NETWORKS; DISCRETE WAVELET TRANSFORMS; FORECASTING; IMAGE RETRIEVAL; LEARNING SYSTEMS; NEURAL NETWORKS; TIME SERIES ANALYSIS; VECTORS; WAVELET TRANSFORMS;

EID: 51349163996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (16)
  • 1
    • 0035248045 scopus 로고    scopus 로고
    • Neural networks for short-term load forecasting: A review and evaluation
    • Feb
    • H. S. Hippert, C. E. Pedreira and R. C. Souza, "Neural networks for short-term load forecasting: a review and evaluation," IEEE Trans. On Power Syst., vol. 16, no. 1, pp. 44-55, Feb. 2001.
    • (2001) IEEE Trans. On Power Syst , vol.16 , Issue.1 , pp. 44-55
    • Hippert, H.S.1    Pedreira, C.E.2    Souza, R.C.3
  • 2
    • 0035425750 scopus 로고    scopus 로고
    • Deterministic annealing clustering for ANN-based short-term load forecasting
    • Aug
    • H. Mori and A. Yuihara, "Deterministic annealing clustering for ANN-based short-term load forecasting," IEEE Trans. on Power Syst., vol. 16, no. 3, pp. 545-551, Aug. 2001.
    • (2001) IEEE Trans. on Power Syst , vol.16 , Issue.3 , pp. 545-551
    • Mori, H.1    Yuihara, A.2
  • 3
    • 33744741353 scopus 로고    scopus 로고
    • Application of a fuzzy neural network combined with a chaos genetic algorithm and simulated annealing to short-term load forecasting
    • June
    • G. C. Liao and T. P. Tsao, "Application of a fuzzy neural network combined with a chaos genetic algorithm and simulated annealing to short-term load forecasting," IEEE Trans. on Evol. Comp." vol. 10, no. 3, pp. 330-340, June 2006.
    • (2006) IEEE Trans. on Evol. Comp , vol.10 , Issue.3 , pp. 330-340
    • Liao, G.C.1    Tsao, T.P.2
  • 4
    • 13844315896 scopus 로고    scopus 로고
    • Feature extraction via multiresolution analysis for short-term load forecasting
    • Feb
    • A. J. R. Reis and A. P. A. Silva, "Feature extraction via multiresolution analysis for short-term load forecasting," IEEE Trans. on Power Syst., vol. 20, no. 1, pp. 189-198, Feb. 2005.
    • (2005) IEEE Trans. on Power Syst , vol.20 , Issue.1 , pp. 189-198
    • Reis, A.J.R.1    Silva, A.P.A.2
  • 5
    • 33646365597 scopus 로고    scopus 로고
    • Hybrid load forecasting method with analysis of temperature sensitivities
    • May
    • K. B. Song, S. K. Ha, J. W. Park, D. J. Kweon and K. H. Kim, "Hybrid load forecasting method with analysis of temperature sensitivities," IEEE Trans. on Power Syst., vol. 21, no. 2, pp. 869-876, May 2006.
    • (2006) IEEE Trans. on Power Syst , vol.21 , Issue.2 , pp. 869-876
    • Song, K.B.1    Ha, S.K.2    Park, J.W.3    Kweon, D.J.4    Kim, K.H.5
  • 6
    • 13844311476 scopus 로고    scopus 로고
    • Short-term load forecasting for the holidays using fuzzy linear regression method
    • Feb
    • K. B. Song, Y. S. Baek, D. H. Hong and G. Jang, "Short-term load forecasting for the holidays using fuzzy linear regression method," IEEE Trans. on Power Syst., vol. 20, no. 1, pp. 96-101, Feb. 2005.
    • (2005) IEEE Trans. on Power Syst , vol.20 , Issue.1 , pp. 96-101
    • Song, K.B.1    Baek, Y.S.2    Hong, D.H.3    Jang, G.4
  • 7
    • 32144462264 scopus 로고    scopus 로고
    • Short-term load forecasting based on an adaptive hybrid method
    • Feb
    • S. Fan and L. Chen, "Short-term load forecasting based on an adaptive hybrid method," IEEE Trans. on Power Syst., vol. 21, no. 1, pp. 392-401, Feb. 2006.
    • (2006) IEEE Trans. on Power Syst , vol.21 , Issue.1 , pp. 392-401
    • Fan, S.1    Chen, L.2
  • 8
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik, "Support-vector networks," Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 9
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • Sept
    • V. Vapnik, "An overview of statistical learning theory," IEEE Trans on Neural Networks, vol. 10, no. 5, pp. 98S-999, Sept. 1999.
    • (1999) IEEE Trans on Neural Networks , vol.10 , Issue.5
    • Vapnik, V.1
  • 10
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • A. J. Smola and B. Scholkopf, "A tutorial on support vector regression," Statistics and Computing, vol. 14, pp. 199-222, 2004.
    • (2004) Statistics and Computing , vol.14 , pp. 199-222
    • Smola, A.J.1    Scholkopf, B.2
  • 11
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machiens for classification and regression,
    • ISIS-1-98, Image Speech & Intelligent Systems Research Group, University of Southapton, May
    • S. Gunn, "Support vector machiens for classification and regression," ISIS Technical Report ISIS-1-98, Image Speech & Intelligent Systems Research Group, University of Southapton, May 1998.
    • (1998) ISIS Technical Report
    • Gunn, S.1
  • 12
    • 0037744928 scopus 로고    scopus 로고
    • U. Boonprasert, N. Theera-Umpon, and C. Rakpenthai, Support vector regression based adaptive power system stabilizer, in Proc. 2003 IEEE Intl. Symp. on Circuits and Syst., pp. III-371-III-374.
    • U. Boonprasert, N. Theera-Umpon, and C. Rakpenthai, "Support vector regression based adaptive power system stabilizer," in Proc. 2003 IEEE Intl. Symp. on Circuits and Syst., pp. III-371-III-374.
  • 13
    • 51349124356 scopus 로고    scopus 로고
    • Leeway prediction of oceanic disastrous target via support vector regression
    • Nov
    • N. Theera-Umpon and U. Boonprasert, "Leeway prediction of oceanic disastrous target via support vector regression," Jnl. of Adv. Comp. Intel. and Intel Inform., vol. 8, no. 6, pp. 602-612, Nov. 2004.
    • (2004) Jnl. of Adv. Comp. Intel. and Intel Inform , vol.8 , Issue.6 , pp. 602-612
    • Theera-Umpon, N.1    Boonprasert, U.2
  • 14
    • 0026239193 scopus 로고
    • Wavelets and signal processing
    • Oct
    • O. Rioul and M. Vetterli, "Wavelets and signal processing," IEEE Signal Processing Magazine, vol. 8, no. 4, pp. 14-38, Oct. 1991.
    • (1991) IEEE Signal Processing Magazine , vol.8 , Issue.4 , pp. 14-38
    • Rioul, O.1    Vetterli, M.2
  • 15
    • 33745630318 scopus 로고    scopus 로고
    • Wavelet-aided SVM tool for impulse fault identification in transformers
    • July
    • C. Koley, P. Purkait, and S. Chakravorti, "Wavelet-aided SVM tool for impulse fault identification in transformers," IEEE Trans. On Power Deli., vol. 21, no. 3, pp. 1283-1290, July 2006.
    • (2006) IEEE Trans. On Power Deli , vol.21 , Issue.3 , pp. 1283-1290
    • Koley, C.1    Purkait, P.2    Chakravorti, S.3
  • 16
    • 33244459555 scopus 로고    scopus 로고
    • A self-organizing learning array system for power quality classification based on wavelet transform
    • Jan
    • H. He and J. A. Starzyk, "A self-organizing learning array system for power quality classification based on wavelet transform," IEEE Trans. On Power Deli., vol. 21, no. 1, pp. 286-295, Jan. 2006.
    • (2006) IEEE Trans. On Power Deli , vol.21 , Issue.1 , pp. 286-295
    • He, H.1    Starzyk, J.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.