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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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
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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