Stochastic model and optimum sampling interval of variables for environmental measurement systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39911384" target="_blank" >RIV/00216275:25410/17:39911384 - isvavai.cz</a>
Alternative codes found
RIV/00216275:25530/17:39911384
Result on the web
<a href="http://dx.doi.org/10.1109/EPE.2017.7967328" target="_blank" >http://dx.doi.org/10.1109/EPE.2017.7967328</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE.2017.7967328" target="_blank" >10.1109/EPE.2017.7967328</a>
Alternative languages
Result language
angličtina
Original language name
Stochastic model and optimum sampling interval of variables for environmental measurement systems
Original language description
It is common in engineering to model time-dependent variables as diffusion process represented by stochastic differential equations. This is usually helpful when empirical datasets describing time evolution of variables are available. This helps in accurate estimation of parameters of the stochastic differential equation which describes the dynamic system. Additionally, it helps in characterization and determination of optimal performance of the system. The above have been conducted in this study using real environmental field data. Linear stochastic model was fitted to longitudinal datasets and optimum sampling interval investigated. A new method has been proposed for determination of optimum sampling interval. Results obtained differ from those of hypothetical optimum which do not take energy consumption into consideration.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 18th International Scientific Conference on Electric Power Engineering, EPE 2017
ISBN
978-1-5090-6405-2
ISSN
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e-ISSN
neuvedeno
Number of pages
5
Pages from-to
"xx"
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Kouty nad Desnou
Event date
May 17, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000422921000094