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Volumn 5, Issue 5, 2011, Pages 1523-1528

Short-term power load forecasting method by radial-basis-function neural network with support vector machine model

Author keywords

Power load; RBFNN SVM; Short term forecasting; SVM

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIOLOGICAL NEURON; ENERGY DEMAND FORECASTING; ENERGY INDUSTRY; LOAD FORECASTING; NONLINEAR CHARACTERISTICS; POWER LOAD; POWER LOAD FORECASTING; PREDICTION ALGORITHMS; RBFNN-SVM; SHORT-TERM FORECASTING; SUPPORT VECTOR; SVM;

EID: 79954490219     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (9)

References (8)
  • 2
    • 0027544506 scopus 로고
    • Load forecasting via suboptimal seasonal autoregressive models and iteratively reweighted least-squares estimation
    • M. Gan and E. Me, Load forecasting via suboptimal seasonal autoregressive models and iteratively reweighted least-squares estimation, IEEE Trans. on Power Systems, vol.8, no.1, pp.343-348, 1993.
    • (1993) IEEE Trans. on Power Systems , vol.8 , Issue.1 , pp. 343-348
    • Gan, M.1    Me, E.2
  • 4
    • 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
  • 5
    • 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, no.3, pp.199-222, 2004.
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.J.1    Scholkopf, B.2
  • 6
    • 0000913324 scopus 로고    scopus 로고
    • SVMTorch: Support vector machines for large-scale regression problems
    • R. Collobert and S. Bengio, SVMTorch: Support vector machines for large-scale regression problems, Journal of Machine Learning Research, vol.1, no.2, pp.143-160, 2001.
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.2 , pp. 143-160
    • Collobert, R.1    Bengio, S.2
  • 7
    • 64349093428 scopus 로고    scopus 로고
    • Next day load forecasting using artificial neural network models with autoregression and weighted frequency bin blocks
    • M. Kurban and U. B. Filik, Next day load forecasting using artificial neural network models with autoregression and weighted frequency bin blocks, International Journal of Innovative Computing, Information and Control, vol.5, no.4, pp.889-898, 2009.
    • (2009) International Journal of Innovative Computing, Information and Control , vol.5 , Issue.4 , pp. 889-898
    • Kurban, M.1    Filik, U.B.2
  • 8
    • 77955213066 scopus 로고    scopus 로고
    • Hourly forecasting of long term electric energy demand using a novel modeling approach
    • U. B. Filik, O. N. Gerek and M. Kurban, Hourly forecasting of long term electric energy demand using a novel modeling approach, ICIC Express Letters, vol.4, no.4, pp.1101-1106, 2010.
    • (2010) ICIC Express Letters , vol.4 , Issue.4 , pp. 1101-1106
    • Filik, U.B.1    Gerek, O.N.2    Kurban, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.