Expectation-Maximization algorithm for Evaluation of Wind Direction Characteristics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F15%3A39899393" target="_blank" >RIV/00216275:25530/15:39899393 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EEEIC.2015.7165433" target="_blank" >http://dx.doi.org/10.1109/EEEIC.2015.7165433</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EEEIC.2015.7165433" target="_blank" >10.1109/EEEIC.2015.7165433</a>
Alternative languages
Result language
angličtina
Original language name
Expectation-Maximization algorithm for Evaluation of Wind Direction Characteristics
Original language description
Directional statistical distributions can be used to model a wide range of industrial and phenomena. Finite mixtures of circular normal von Mises (MvM) distributions have been used to represent directional data from various domains including energy industry, medical science, and information retrieval. This paper presents the probabilistic modeling of the prevailing wind directions. Expectation-maximization algorithm (EM algorithm) is employed to evaluate unknown parameters of MvM distribution. The evaluation is carried out using real-world data sets describing annual wind direction at St. John's airport in Newfoundland, Canada. Experimental results show that EM algorithm is able to find good model parameters corresponding to input data. However, because the termination criterion ?2-function converges to 335, the resulting distribution cannot pass Pearson's test of goodness of fit.
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
IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015: Conference Proceedings
ISBN
978-1-4799-7992-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1730-1735
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Řím
Event date
Jun 10, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000366654400293