Estimation of wind direction distribution with genetic algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86096969" target="_blank" >RIV/61989100:27240/13:86096969 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/CCECE.2013.6567681" target="_blank" >http://dx.doi.org/10.1109/CCECE.2013.6567681</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CCECE.2013.6567681" target="_blank" >10.1109/CCECE.2013.6567681</a>
Alternative languages
Result language
angličtina
Original language name
Estimation of wind direction distribution with genetic algorithms
Original language description
Abstract Directional and stream data are common in many research fields. Wind speed and direction 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 presented. The statistical model is composed of a finite mixture of circular von Mises distributions. Parameters of the model are estimated using the heuristic search method of genetic algorithms. The quality of computed distribution is evaluated by Pearson's chi-squared test. The entire proposed procedure is tested using a case study. The results show that the model composed of a finite mixture of von Mises distribution corresponds to the input data with high
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
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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
Canadian Conference on Electrical and Computer Engineering 2013
ISBN
978-1-4799-0032-9
ISSN
0840-7789
e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
New York
Event location
Regina
Event date
May 5, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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