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%2F00216275%3A25530%2F15%3A39900928" target="_blank" >RIV/00216275:25530/15:39900928 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-13572-4_2" target="_blank" >http://dx.doi.org/10.1007/978-3-319-13572-4_2</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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.30.0058" target="_blank" >EE2.3.30.0058: Development of Research Teams at the University of Pardubice</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
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
AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT, AECIA 2014
ISBN
978-3-319-13572-4
ISSN
2194-5357
e-ISSN
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Number of pages
12
Pages from-to
15-26
Publisher name
SPRINGER-VERLAG BERLIN
Place of publication
BERLIN
Event location
Addis Ababa Univ, Addis Ababa
Event date
Nov 17, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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