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Estimation of wind direction distribution as the mixture of circular von Mises functions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F13%3A39896472" target="_blank" >RIV/00216275:25530/13:39896472 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of wind direction distribution as the mixture of circular von Mises functions

  • Original language description

    Directional and stream data are common in many research fields. For example, wind direction and its speed are the most important variables for effective wind energy utilization. It is also well known, that wind significantly influences the current-carrying capacity of overhead power transmission lines. This shows the importance of knowing the annual wind direction distribution for specific locations, e.g. where wind farms or power transmission lines are situated. In this paper, a new method of wind direction distribution determination is introduced. The statistical wind direction model is composed of circular von Mises distributions mixture. The results of presented Case Study show that chosen model given by parameters of a finite mixture of von Misesfunctions corresponds to the sample data with reasonably good significance level.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JE - Non-nuclear power engineering, energy consumption and utilization

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 4th International Scientific Conference OZE 2013

  • ISBN

    978-80-89402-64-9

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    195-198

  • Publisher name

    Slovenská technická univezita v Bratislave

  • Place of publication

    Bratislava

  • Event location

    Tatranské Matliare

  • Event date

    May 21, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article