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Volumn 2, Issue , 2004, Pages 505-509

An adaptive BP-network approach to short term load forecasting

Author keywords

Adaptive BP network; Electricity markets; Genetic algorithms; Short term load forecasting

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTER SIMULATION; ELECTRIC INDUSTRY; GENETIC ALGORITHMS; OPTIMIZATION; REGRESSION ANALYSIS; TIME SERIES ANALYSIS;

EID: 8644274888     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 2
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    • Wang, Y.1
  • 3
    • 8644262317 scopus 로고    scopus 로고
    • Wuhan: The Publishing House of Huazhong University of Science and Technology
    • Jin Xianji, The Handouts of Artificial Neural Network. Wuhan: The Publishing House of Huazhong University of Science and Technology, 1996.
    • (1996) The Handouts of Artificial Neural Network.
    • Jin, X.1
  • 4
    • 3142703238 scopus 로고    scopus 로고
    • Application of genetic algorithm neural network for short term load forecasting of power system
    • Jan.
    • Liang Haifeng, Tu Guangyu, Tang Hongwei, "Application of genetic algorithm neural network for short term load forecasting of power system," Power System Technology, vol.25, no.1, pp.49-53, Jan.2001.
    • (2001) Power System Technology , vol.25 , Issue.1 , pp. 49-53
    • Liang, H.1    Tu, G.2    Tang, H.3
  • 5
    • 3943095427 scopus 로고    scopus 로고
    • An improved neural network method for short term load forecasting
    • Nov.
    • He Shudong, Qu Tan, Huang Xinghan, "An improved neural network method for short term load forecasting," Automation of Electric Power Systems, vol.21, no.11, pp.13-15, Nov.1997.
    • (1997) Automation of Electric Power Systems , vol.21 , Issue.11 , pp. 13-15
    • He, S.1    Qu, T.2    Huang, X.3
  • 6
    • 4544360841 scopus 로고    scopus 로고
    • A short short-term load forecasting system based on BP artificial neural network
    • Feb.
    • Zhou Dianmin, Guan Xiaohong, Sun Jie, Huang Yong, "A short short-term load forecasting system based on BP artificial neural network," Power System Technology, vol.26, no.2, pp. 10-13, Feb.2002.
    • (2002) Power System Technology , vol.26 , Issue.2 , pp. 10-13
    • Zhou, D.1    Guan, X.2    Sun, J.3    Huang, Y.4
  • 7
    • 8644223221 scopus 로고    scopus 로고
    • Short term load forecasting using artificial neuron network and fuzzy inference
    • May
    • Ma Wenxiao, Bai Xiaomin, Mu Lianshun, "Short term load forecasting using artificial neuron network and fuzzy inference," Power System Technology, Vol.27, No.5, May.2003.
    • (2003) Power System Technology , vol.27 , Issue.5
    • Ma, W.1    Bai, X.2    Mu, L.3
  • 8
    • 0029410319 scopus 로고
    • Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting
    • Nov.
    • Dipti Srinivasan, C.S.Chang, A.C.Liew, "Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting, " IEEE Trans. Power Systems, vol.10, pp. 1897-1903, Nov. 1995.
    • (1995) IEEE Trans. Power Systems , vol.10 , pp. 1897-1903
    • Srinivasan, D.1    Chang, C.S.2    Liew, A.C.3
  • 9
    • 0027646290 scopus 로고
    • An adaptive network approach to one-week ahead load forecasting
    • Aug.
    • T.M.Peng, N.F.Huber, G.G.Karady, "An adaptive network approach to one-week ahead load forecasting," IEEE Trans. Power Systems, vol.8, pp. 1195-1202, Aug. 1993.
    • (1993) IEEE Trans. Power Systems , vol.8 , pp. 1195-1202
    • Peng, T.M.1    Huber, N.F.2    Karady, G.G.3
  • 10
    • 0036872787 scopus 로고    scopus 로고
    • A neuro-fuzzy approach to short-term load forecasting in a price-sensitive environment
    • Nov.
    • Alireza Khotanzad, Enwang Zhou, Hassan Elragal, "A neuro-fuzzy approach to short-term load forecasting in a price-sensitive environment," IEEE Trans. Power Systems, vol.17, pp. 1273-1282, Nov. 2002.
    • (2002) IEEE Trans. Power Systems , vol.17 , pp. 1273-1282
    • Khotanzad, A.1    Zhou, E.2    Elragal, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.