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Volumn 51, Issue 3-4, 2000, Pages 221-232

A hybrid fuzzy modeling method for short-term load forecasting

Author keywords

Constrained optimization; Fuzzy systems; Orthogonal least squares; Short term load forecasting

Indexed keywords


EID: 0000835561     PISSN: 03784754     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0378-4754(99)00119-6     Document Type: Article
Times cited : (38)

References (21)
  • 1
    • 0029354867 scopus 로고
    • Short term load forecasting using fuzzy neural networks
    • A.G. Bakirtzis, Short term load forecasting using fuzzy neural networks, IEEE Trans. Power Syst. 10 (1995) 1518-1524.
    • (1995) IEEE Trans. Power Syst. , vol.10 , pp. 1518-1524
    • Bakirtzis, A.G.1
  • 2
    • 0030143484 scopus 로고    scopus 로고
    • A neural network short term load forecasting model for the greek power system
    • A.G. Bakirtzis, A neural network short term load forecasting model for the greek power system, IEEE Trans. Power Syst. 11 (1996) 858-863.
    • (1996) IEEE Trans. Power Syst. , vol.11 , pp. 858-863
    • Bakirtzis, A.G.1
  • 3
    • 85024508370 scopus 로고
    • A steepest-ascent method for solving optimum programming problems
    • A.E. Bryson, W.F. Denham, A steepest-ascent method for solving optimum programming problems, J. Appl. Mech. 29 (1962) 247-257.
    • (1962) J. Appl. Mech. , vol.29 , pp. 247-257
    • Bryson, A.E.1    Denham, W.F.2
  • 4
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis functions networks
    • S. Chen, C.F.N. Cowan, P.M. Grant, Orthogonal least squares learning algorithm for radial basis functions networks, IEEE Trans. Neural Networks 2 (1991) 302-309.
    • (1991) IEEE Trans. Neural Networks , vol.2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 5
    • 0028749939 scopus 로고
    • Two-pass orthogonal least-squares algorithm to train and reduce fuzzy logic systems
    • Orlando, USA
    • J. Hohensohn, J.M. Mendel, Two-pass orthogonal least-squares algorithm to train and reduce fuzzy logic systems, in: Proc. IEEE Int. Conf. Fuzzy Systems, Orlando, USA, 1994, pp. 696-700.
    • (1994) Proc. IEEE Int. Conf. Fuzzy Systems , pp. 696-700
    • Hohensohn, J.1    Mendel, J.M.2
  • 6
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • J.-S.R. Jang, ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans. Syst., Man and Cybern. 23 (1993) 665-685.
    • (1993) IEEE Trans. Syst., Man and Cybern. , vol.23 , pp. 665-685
    • Jang, J.-S.R.1
  • 7
    • 0029403658 scopus 로고
    • An efficient constrained training algorithm for feedforward networks
    • D.A. Karras, S.J. Perantonis, An efficient constrained training algorithm for feedforward networks, IEEE Trans. Neural Networks 5 (1995) 1420-1434.
    • (1995) IEEE Trans. Neural Networks , vol.5 , pp. 1420-1434
    • Karras, D.A.1    Perantonis, S.J.2
  • 9
    • 0030084673 scopus 로고    scopus 로고
    • Optimal fuzzy inference for short-term load forecasting
    • H. Mori, H. Kobayashi, Optimal fuzzy inference for short-term load forecasting, IEEE Trans. Power Syst. 11 (1996) 390-396.
    • (1996) IEEE Trans. Power Syst. , vol.11 , pp. 390-396
    • Mori, H.1    Kobayashi, H.2
  • 10
    • 0003591525 scopus 로고
    • Artificial neural networks for power systems
    • April
    • D. Niebur, Artificial neural networks for power systems, CIGRE TF38.06.06 Report 159, April 1995, pp. 77-101.
    • (1995) CIGRE TF38.06.06 Report 159 , pp. 77-101
    • Niebur, D.1
  • 11
    • 0025519319 scopus 로고
    • A regression-based approach to short term system load forecasting
    • A.D. Papalexopoulos, T.C. Hesterberg, A regression-based approach to short term system load forecasting, IEEE Trans. Power Syst. 5 (1990) 1535-1547.
    • (1990) IEEE Trans. Power Syst. , vol.5 , pp. 1535-1547
    • Papalexopoulos, A.D.1    Hesterberg, T.C.2
  • 12
    • 0026154960 scopus 로고
    • Composite modeling for adaptive short-term load forecasting
    • J.H. Park, Y.M. Park, K.Y. Lee, Composite modeling for adaptive short-term load forecasting, IEEE Trans. Power Syst. 6 (1991) 450-457.
    • (1991) IEEE Trans. Power Syst. , vol.6 , pp. 450-457
    • Park, J.H.1    Park, Y.M.2    Lee, K.Y.3
  • 13
    • 0026151476 scopus 로고
    • Electric load forecasting using an artificial neural network
    • D.C. Park, Electric load forecasting using an artificial neural network, IEEE Trans. Power Syst. 6 (1991) 442-449.
    • (1991) IEEE Trans. Power Syst. , vol.6 , pp. 442-449
    • Park, D.C.1
  • 14
    • 0026822198 scopus 로고
    • Advancement in the application of neural networks for short term load forecasting
    • T.M. Peng, N.F. Hubele, G.G. Karady, Advancement in the application of neural networks for short term load forecasting, IEEE Trans. Power Syst. 7 (1992) 250-258.
    • (1992) IEEE Trans. Power Syst. , vol.7 , pp. 250-258
    • Peng, T.M.1    Hubele, N.F.2    Karady, G.G.3
  • 15
    • 0030087190 scopus 로고    scopus 로고
    • Heterogeneous artificial neural network for short term electrical load forecasting
    • A. Piras, Heterogeneous artificial neural network for short term electrical load forecasting, IEEE Trans. Power Syst. 11 (1996) 397-402.
    • (1996) IEEE Trans. Power Syst. , vol.11 , pp. 397-402
    • Piras, A.1
  • 16
    • 0024001840 scopus 로고
    • An expert system based algorithm for short term load forecast
    • S. Ranman, R. Bhatnagar, An expert system based algorithm for short term load forecast, IEEE Trans. Power Syst. 3 (1988) 392-399.
    • (1988) IEEE Trans. Power Syst. , vol.3 , pp. 392-399
    • Ranman, S.1    Bhatnagar, R.2
  • 17
    • 0003488040 scopus 로고    scopus 로고
    • A tutorial course on Artificial Neural Networks with Applications to Power Systems
    • M. El-Sharkawi, D. Niebur (Eds.), A tutorial course on Artificial Neural Networks with Applications to Power Systems, IEEE/Power Engineering Society 96TP112-0, 1996.
    • (1996) IEEE/Power Engineering Society 96TP112-0
    • El-Sharkawi, M.1    Niebur, D.2
  • 18
    • 0029410319 scopus 로고
    • Demand forecasting using fuzzy neural networks with special emphasis on weekend and public holiday forecasting
    • D. Srinivasan, C.S. Chang, A.C. Liew, Demand forecasting using fuzzy neural networks with special emphasis on weekend and public holiday forecasting, IEEE Trans. Power Syst. 10 (1995) 1897-1903.
    • (1995) IEEE Trans. Power Syst. , vol.10 , pp. 1897-1903
    • Srinivasan, D.1    Chang, C.S.2    Liew, A.C.3
  • 19
    • 0027544110 scopus 로고
    • A fuzzy-logic-based approach to qualitative modeling
    • M. Sugeno, T. Yasukawa, A fuzzy-logic-based approach to qualitative modeling, IEEE Trans. Fuzzy Syst. 1 (1993) 7-31.
    • (1993) IEEE Trans. Fuzzy Syst. , vol.1 , pp. 7-31
    • Sugeno, M.1    Yasukawa, T.2
  • 20
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications
    • T. Takagi, M. Sugeno, Fuzzy identification of systems and its applications, IEEE Trans. Syst., Man and Cybern. 15 (1985) 116-132.
    • (1985) IEEE Trans. Syst., Man and Cybern. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 21
    • 0026928374 scopus 로고
    • Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
    • L.-X. Wang, L.J.M. Mendel, Fuzzy basis functions, universal approximation, and orthogonal least-squares learning, IEEE Trans. Neural Networks 3 (1992) 807-814.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 807-814
    • Wang, L.-X.1    Mendel, L.J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.