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Volumn , Issue , 2010, Pages

Data mining techniques for very short term prediction of wind power

Author keywords

Data mining; Wind power forecasting

Indexed keywords

DATA MINING TECHNIQUES; MULTIVARIATE TIME SERIES; PHENOMENOLOGICAL MODELS; SHORT TERM PREDICTION; TIME DELAY NEURAL NETWORKS; TIME FRAME; WIND FARM; WIND POWER FORECASTING;

EID: 77958045687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IREP.2010.5563273     Document Type: Conference Paper
Times cited : (17)

References (15)
  • 1
    • 84889498628 scopus 로고    scopus 로고
    • Wind power in power systems
    • John Wiley & Sons, Ltd., Morgan & Claypool
    • T. Ackermann, Wind power in power systems. John Wiley & Sons, Ltd., 2005. Frede Blaabjerg, Zhe Chen, Power Electronics for Modern Wind Turbines, Morgan & Claypool, 2006.
    • (2005) Power Electronics for Modern Wind Turbines
    • Ackermann, T.1
  • 2
  • 5
    • 33646352206 scopus 로고    scopus 로고
    • Very Short-Term Wind Forecasting for Tasmanian Power Generation
    • May
    • Potter, C. and Negnevitsky, M., "Very Short-Term Wind Forecasting for Tasmanian Power Generation", IEEE Transactions on Power Systems, Vol. 21, No. 2, May 2006, pp. 965-972.
    • (2006) IEEE Transactions on Power Systems , vol.21 , Issue.2 , pp. 965-972
    • Potter, C.1    Negnevitsky, M.2
  • 6
    • 50849132200 scopus 로고    scopus 로고
    • A literature review of wind forecasting technology in the world
    • Y-K Wu and J-S Hong, "A literature review of wind forecasting technology in the world," in Proc. IEEE Power Tech., pp. 504-509, 2007.
    • (2007) Proc. IEEE Power Tech. , pp. 504-509
    • Wu, Y.-K.1    Hong, J.-S.2
  • 7
    • 0035248045 scopus 로고    scopus 로고
    • Neural networks for short-term load forecasting: A review and evaluation
    • Feb.
    • H. S. Hippert, C. E. Pedreira, and R. C. Souza, "Neural networks for short-term load forecasting: A review and evaluation," IEEE Trans. On Power Syst., vol. 16, no. 1, pp. 44-55, Feb. 2001.
    • (2001) IEEE Trans. On Power Syst. , vol.16 , Issue.1 , pp. 44-55
    • Hippert, H.S.1    Pedreira, C.E.2    Souza, R.C.3
  • 8
    • 0037197561 scopus 로고    scopus 로고
    • A data mining method for short-term load forecasting in power systems
    • H. Mori and N. Kosemura, "A data mining method for short-term load forecasting in power systems," Electrical Engineering in Japan, vol. 139, no. 2, pp. 234-241, 2002.
    • (2002) Electrical Engineering in Japan , vol.139 , Issue.2 , pp. 234-241
    • Mori, H.1    Kosemura, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.