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dc.contributor.authorVan Der Auwera, L.
dc.contributor.authorDe Meyer, F.
dc.contributor.authorMalet, L. M.
dc.date.accessioned2017-06-09T17:40:33Z
dc.date.available2017-06-09T17:40:33Z
dc.date.copyright1980/07/01
dc.date.issued1979
dc.identifier.issn0021-8952
dc.identifier.otherams-9933.pdf
dc.identifier.urihttp://onlinelibrary.yabesh.ir/handle/yetl/4233476
dc.description.abstractThe Weibull three-parameter model is discussed for estimation of mean wind power densities. This probability density function is a generalization of a number of more conventional density functions. Using wind speed observations, it is shown that this model generally gives a more reliable fit to the empirical wind speed frequency data than the density functions with one or two parameters. Wind power density estimations turn out to be strongly dependent on the hypothesized probability density function. The variation with height of the three parameters of the discussed model is investigated; no simple height dependence can be proposed.
dc.publisherAmerican Meteorological Society
dc.titleThe Use of the Weibull Three-Parameter Model for Estimating Mean Wind Power Densities
dc.typeJournal Paper
dc.journal.volume19
dc.journal.issue7
dc.journal.titleJournal of Applied Meteorology
dc.identifier.doi10.1175/1520-0450(1980)019<0819:TUOTWT>2.0.CO;2
dc.journal.fristpage819
dc.journal.lastpage825
dc.treeJournal of Applied Meteorology:;1979:;volume( 019 ):;issue: 007
dc.contenttypeFulltext


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