文章基本信息

标题：Random variation and correlation of the weather data series – evaluation and simulation using bounded histograms
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作者：Petr Konecny ; Petr Konecny ; David Pustka 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2017
卷号：107
页码：1-8
DOI：10.1051/matecconf/201710700085
语种：English
出版社：EDP Sciences
摘要：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.