2018
DOI: 10.3390/en11030633
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A Novel Statistical Method to Temporally Downscale Wind Speed Weibull Distribution Using Scaling Property

Abstract: To improve our capacity to use available wind speed data, it is necessary to develop a new statistical temporal downscaling method that uses one or a few input variables of any temporal scale for mean wind speed data to obtain wind statistics at finer temporal resolution. In the present study, a novel statistical temporal downscaling method for wind speed statistics and probability distribution is proposed. The proposed method uses the temporal structure to downscale the wind speed statistics to a fine tempora… Show more

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Cited by 23 publications
(15 citation statements)
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References 88 publications
(109 reference statements)
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“…The t-stat [3] is a measure, which gives information about the ratio of estimated value to the standard error, and its expression is:…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The t-stat [3] is a measure, which gives information about the ratio of estimated value to the standard error, and its expression is:…”
Section: Resultsmentioning
confidence: 99%
“…With the clear knowledge of wind statistical properties, it becomes easier to predict the energy available at that particular location. Among the statistical analysis [3], Weibull distribution plays an important role in estimating the wind potential at any region.…”
Section: Introductionmentioning
confidence: 99%
“…To improve the capability of available wind speed data, it is important to enhance a new statistical downscaling method. Shin et al 11 discussed a strategical analysis for the synthesis of wind speed at a large level following measuring through an adequate scaling methodology. The research also intended for the introduction of a potential distribution function.…”
Section: Literature Surveymentioning
confidence: 99%
“…The approach was applied for near-surface wind speed at 10 m. The results revealed that the proposed method can be efficiently used for downscaling purposes. Moreover, several statistical techniques using different regression-based techniques and also Weibull-based bias correction were applied by different researchers, which downscaled the wind speed (Sailor, Hu, Li, & Rosen, 2000;Shin, Jeong, & Heo, 2018;Winstral, Jonas, & Helbig, 2017). However, most of the previous studies focused on wind speed and fewer efforts were devoted to modifying wind direction, which plays an important role in the efficiency of wind turbines and yields.…”
Section: Introductionmentioning
confidence: 99%