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Volumn , Issue , 2009, Pages

Pitfalls of modeling wind power using Markov chains

Author keywords

Energy storage; Markov processes; Modeling; Wind energy; Wind power generation

Indexed keywords

MARKOV CHAIN; MICRO GRID; MODELING; OTHER APPLICATIONS; SIMULATION TIME; SPINNING RESERVES; STORAGE REQUIREMENTS; SYNTHETIC DATA; TIME STEP; WIND DATA; WIND ENERGY; WIND SPEED;

EID: 70349180643     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PSCE.2009.4840265     Document Type: Conference Paper
Times cited : (67)

References (9)
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    • Sahin, A.D.1    Sen, Z.2
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    • Statistical bivariate modelling of wind using first-order Markov chain and Weibull distribution
    • F. Y. Ettoumi, H. Sauvageot, and A. Adane, "Statistical bivariate modelling of wind using first-order Markov chain and Weibull distribution," Renewable Energy, vol. 28, pp. 1787-1802, 2003.
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  • 6
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    • A. Shamshad, M. Bawadi, W. W. Hussin, T. Majid, and S. Sanusi, "First and second order Markov chain models for synthetic generation of wind speed time series," Energy, vol. 30, pp. 693-708, 2005.
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  • 8
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    • D. P. Bertsekas and J. N. Tsitsiklis, Introduction to Probability. Belmont, Massachusetts: Athena Scientific, 2002, ch. 6, pp. 314-315,332.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.