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Optimization of Wind Direction Distribution Parameters Using Particle Swarm Optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096634" target="_blank" >RIV/61989100:27240/15:86096634 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/15:86096634

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007%2F978-3-319-13572-4_2#page-1" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-13572-4_2#page-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-13572-4_2" target="_blank" >10.1007/978-3-319-13572-4_2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Optimization of Wind Direction Distribution Parameters Using Particle Swarm Optimization

  • Original language description

    Data describing various natural and industrial phenomena can be modeled by directional statistical distributions. In the field of energy, wind direction and wind speed are the most important variables for wind energy generation, integration, and management. This work proposes and evaluates a new method for accurate estimation of wind direction distribution parameters utilizing the well-known Particle Swarm Optimization algorithm. It is used to optimize the parameters of a site-specific wind direction distribution model realized as a finite mixture of circular normal von Mises statistical distributions. The evaluation of the proposed algorithm is carried out using a data set describing annual wind direction on two distinct locations. Experimental results show that the proposed method is able to find good model parameters corresponding to input data.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 334

  • ISBN

    978-3-319-13571-7

  • ISSN

    2194-5357

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    15-26

  • Publisher name

    Springer

  • Place of publication

    Basel

  • Event location

    Addis Ababa

  • Event date

    Nov 17, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000357860700002