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Volumn 31, Issue 12, 2006, Pages 1817-1825

Assessment of optimum tip speed ratio in wind turbines using artificial neural networks

Author keywords

Neural networks; Power factor; Tip speed ratio; Wind energy; Wind turbine

Indexed keywords


EID: 33745927429     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2005.09.007     Document Type: Article
Times cited : (40)

References (13)
  • 3
    • 0011733885 scopus 로고    scopus 로고
    • Stuttgart: B. G. Teubner Verlag
    • R. Gasch Windkraftanlangen 1996 B. G. Teubner Verlag Stuttgart.
    • (1996) Windkraftanlangen
    • Gasch, R.1
  • 4
    • 11144234684 scopus 로고    scopus 로고
    • Assesment of optimum tip speed ratio of wind turbines
    • N.S. Cetin, M.A. Yurdusev, R. Ata, and A. Özdemir Assesment of optimum tip speed ratio of wind turbines Math Comput Appl 10 1 2005 147 154.
    • (2005) Math Comput Appl , vol.10 , Issue.1 , pp. 147-154
    • Cetin, N.S.1    Yurdusev, M.A.2    Ata, R.3    Özdemir, A.4
  • 5
    • 33745880263 scopus 로고    scopus 로고
    • Applications of neural networks for energy systems
    • S.A. Kalogirou Applications of neural networks for energy systems Renewable Energy 30 7 2005 1075 1090.
    • (2005) Renewable Energy , vol.30 , Issue.7 , pp. 1075-1090
    • Kalogirou, S.A.1
  • 6
    • 0034963531 scopus 로고    scopus 로고
    • Artificial neural networks in renewable energy systems applications: A review
    • S.A. Kalogirou Artificial neural networks in renewable energy systems applications: a review Renewable Sustainable Energy Rev 5 4 2001 373 401.
    • (2001) Renewable Sustainable Energy Rev , vol.5 , Issue.4 , pp. 373-401
    • Kalogirou, S.A.1
  • 7
    • 13944263195 scopus 로고    scopus 로고
    • A classification mechanicsm for determining average wind speed and power in several regions of Turkey using artificial neural networks
    • E. Cam, E. Arcaklioglu, A. Cavusoglu, and B. Akbiyik A classification mechanicsm for determining average wind speed and power in several regions of Turkey using artificial neural networks Renewable Energy 30 2 2005 227 239.
    • (2005) Renewable Energy , vol.30 , Issue.2 , pp. 227-239
    • Cam, E.1    Arcaklioglu, E.2    Cavusoglu, A.3    Akbiyik, B.4
  • 8
    • 7444227472 scopus 로고    scopus 로고
    • Application of a control algorithm for wind speed prediction and active power generation
    • P. Flores, A. Tapia, and G. Tapia Application of a control algorithm for wind speed prediction and active power generation Renewable Energy 30 4 2005 5523 5536.
    • (2005) Renewable Energy , vol.30 , Issue.4 , pp. 5523-5536
    • Flores, P.1    Tapia, A.2    Tapia, G.3
  • 11
    • 0029390549 scopus 로고
    • On-line evaluation of capacity and energy losses in power transmission systems by using artificial neural networks
    • T.S. Sidhu, and Z. Ao On-line evaluation of capacity and energy losses in power transmission systems by using artificial neural networks IEEE Trans Power Delivery 10 4 1995 1913 1914.
    • (1995) IEEE Trans Power Delivery , vol.10 , Issue.4 , pp. 1913-1914
    • Sidhu, T.S.1    Ao, Z.2
  • 12
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • R.P. Lippman An introduction to computing with neural nets IEEE ASSP Mag April 1987 4 22.
    • (1987) IEEE ASSP Mag , vol.APRIL , pp. 4-22
    • Lippman, R.P.1
  • 13
    • 0027627965 scopus 로고
    • Working with neural networks
    • D. Hammerstrom Working with neural networks IEEE Spectrum July 1993 46 53
    • (1993) IEEE Spectrum , vol.JULY , pp. 46-53
    • Hammerstrom, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.