NDLI: Wind speed extreme quantiles estimation

Content Provider	IEEE Xplore Digital Library
Author	Chiodo, E.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng. & Inf. Technol., Univ. of Naples Federico II, Naples, Italy (Chiodo, E.)
Abstract	Wind speed (WS) probability distribution identification and estimation are the object of an increasing number of studies, especially related to the need of wind energy production evaluation. In this framework, the paper highlights the characterization of extreme WS quantiles, whose values and estimates are very sensitive to the assumed distributional form. This is a crucial issue not only for wind energy production assessment, but also in risk and reliability analysis. For the above purposes, the Lomax model is theoretically deduced and analysed: this model, indeed, well represents the typical “heavy tails” in WS probabilistic distributions arising from field data. A proper Bayes approach for the estimation of both the Lomax survivor function and of the above quantiles is analyzed. A large set of numerical simulations has been performed, and some typical subsets of them are shown to illustrate the efficiency of the estimates, showing excellent results.
Sponsorship	IEEE Ind. Electron. Soc.
Starting Page	760
Ending Page	765
File Size	286748
Page Count	6
File Format	PDF
ISBN	9781467344296
e-ISBN	9781467344302
DOI	10.1109/ICCEP.2013.6586944
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-11
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayes estimation Gamma distribution Maximum likelihood estimation Analytical models Wind Power Wind speed Lomax distribution Wind power generation Numerical models Reliability
Content Type	Text
Resource Type	Article

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