Random variation and correlation of the weather data series - evaluation and simulation using bounded histograms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27120%2F17%3A10236172" target="_blank" >RIV/61989100:27120/17:10236172 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1051/matecconf/201710700085" target="_blank" >https://doi.org/10.1051/matecconf/201710700085</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1051/matecconf/201710700085" target="_blank" >10.1051/matecconf/201710700085</a>

Result language
angličtina
Original language name
Random variation and correlation of the weather data series - evaluation and simulation using bounded histograms
Original language description
The contribution is focused on the random variation and correlation of input parameters for the climate data description. The climate data such as ambient temperature, solar intensity, wind speed and direction are of the random nature. The description of ambient temperature can be based on the climate data time series in the form of climatic "load duration curve". Particular input parameters such as ambient temperature and solar radiation have a significant correlation. The attention is paid especially to the evaluation and simulation application of the histograms using Monte Carlo type process considering correlation of particular parameters.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20102 - Construction engineering, Municipal and structural engineering

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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