Optimal siting and sizing of wind farms
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DOI: 10.1016/j.renene.2016.08.008
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References listed on IDEAS
- Türksoy, Ferdi, 1995. "Investigation of wind power potential at Bozcaada, Turkey," Renewable Energy, Elsevier, vol. 6(8), pages 917-923.
- Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
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Keywords
Weibull distribution; Wind power density; Capacity factor; Grid integration; Linear optimization;All these keywords.
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