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Volumn 284-287, Issue , 2013, Pages 1067-1071

Wind energy conversion system power forecasting using radial basis function neural network

Author keywords

Radial basis function neural network; Wind energy conversion systems; Wind power generation forecasting

Indexed keywords

ELECTRIC POWER GENERATION; FUNCTIONS; NUMERICAL METHODS; RADIAL BASIS FUNCTION NETWORKS; WEATHER FORECASTING;

EID: 84873909516     PISSN: 16609336     EISSN: 16627482     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMM.284-287.1067     Document Type: Conference Paper
Times cited : (22)

References (11)
  • 3
    • 50849132200 scopus 로고    scopus 로고
    • A Literature Review of Wind Forecasting Technology in the World
    • in: 1-5 July, Lausanne, Switzerland
    • Y.K. Wu and J.S. Hon, in: A Literature Review of Wind Forecasting Technology in the World, Proceedings of the IEEE Conference on Power Tech., (2007) 1-5 July, Lausanne, Switzerland.
    • (2007) Proceedings of the IEEE Conference on Power Tech.
    • Wu, Y.K.1    Hon, J.S.2
  • 9
    • 83155181014 scopus 로고    scopus 로고
    • Partial Discharge Pattern Recognition Using Radial Basis Function Neural Network
    • in: 28-31 March, Chengdu, China
    • W.Y. Chang, in: Partial Discharge Pattern Recognition Using Radial Basis Function Neural Network, Proceedings of the Asia-Pacific Power and Energy Engineering Conference, (2010) 28-31 March, Chengdu, China.
    • (2010) Proceedings of the Asia-Pacific Power and Energy Engineering Conference
    • Chang, W.Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.