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Volumn 2006, Issue , 2006, Pages 3152-3156

Application of neural network model based on combination of fuzzy classification and input selection in short term load forecasting

Author keywords

Entropy; Fuzzy classification; Intelligent technique; Power system; Short term load forecasting

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ELECTRIC POWER GENERATION; ELECTRICAL ENGINEERING; FUEL CONSUMPTION; FUZZY RULES; NEURAL NETWORKS;

EID: 33947241994     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2006.258409     Document Type: Conference Paper
Times cited : (10)

References (12)
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    • D. K. Ranaweera, N. F. Hubele, and A. D. Papalexopoulos, "Application of radial basis function neural network model for short term load forecasting," Proc. Inst. Elect. Eng., Generation, Trans., Distrib., Vol. 142, No. 1, pp. 45-50, Jan. 1995.
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  • 2
    • 4544360841 scopus 로고    scopus 로고
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    • Zhou Dianmian et al, "A short-term load forecasting system based on BP artificial neural network," Power System Technology, Vol. 26, No. 2, pp. 10-13, 2002.
    • (2002) Power System Technology , vol.26 , Issue.2 , pp. 10-13
    • Dianmian, Z.1
  • 3
    • 0024764917 scopus 로고
    • Analysis and Evaluation of Five Short-Term Load Forecasting Techniques
    • Oct
    • I. Moghram and S. Rahman, "Analysis and Evaluation of Five Short-Term Load Forecasting Techniques," IEEE Trans. Power systems, Vol. 4, No .4, pp. 1484-1494, Oct. 1989.
    • (1989) IEEE Trans. Power systems , vol.4 , Issue..4 , pp. 1484-1494
    • Moghram, I.1    Rahman, S.2
  • 4
    • 3142678220 scopus 로고    scopus 로고
    • Short-term load forecasting using neural network based on competitive learning classification
    • Yao Lixiao et al, "Short-term load forecasting using neural network based on competitive learning classification," Power System Technology, Vol. 28, No. 2, pp, 45-48, 2004.
    • (2004) Power System Technology , vol.28 , Issue.2 , pp. 45-48
    • Lixiao, Y.1
  • 5
    • 0034186817 scopus 로고    scopus 로고
    • Short-tem Load Forecasting for Special Days in anomalous Load Conditions Using Neural Network and Fuzzy Inference Method
    • Kwang-Ho Kim, Hyoung-Sun Youn, Yong-Cheol Kang, "Short-tem Load Forecasting for Special Days in anomalous Load Conditions Using Neural Network and Fuzzy Inference Method," IEEE TRANSACTIONS ON POWER SYSTEM, Vol. 15, No. 2, pp.559-569, 2000.
    • (2000) IEEE TRANSACTIONS ON POWER SYSTEM , vol.15 , Issue.2 , pp. 559-569
    • Kim, K.1    Youn, H.2    Kang, Y.3
  • 9
    • 0029356764 scopus 로고
    • Implementation of Hybrid Short Term Load Forecasting System Using Artificial Neural Networks and Fuzzy Expert System
    • K. H. Kim, J. K. Park, K. J. Hwang, and S. H. Kim, "Implementation of Hybrid Short Term Load Forecasting System Using Artificial Neural Networks and Fuzzy Expert System," IEEE Trans. on Power systems, Vol. 10, No. 3, pp.1534-1539, 1995.
    • (1995) IEEE Trans. on Power systems , vol.10 , Issue.3 , pp. 1534-1539
    • Kim, K.H.1    Park, J.K.2    Hwang, K.J.3    Kim, S.H.4
  • 10
    • 0024001840 scopus 로고    scopus 로고
    • An expert system based algorithm for short-term load forecast
    • RAHMAN, S., and BHATNAGAR, R, "An expert system based algorithm for short-term load forecast," IEEE Trans. on Power Systems, Vol. 3, No. 2, pp.392-399,1998.
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    • RAHMAN, S.1    BHATNAGAR, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.