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- W965500192 abstract "Daily averaged total cloud amount in the current day is related to the cloud cover amount from the past few days. First- or second-order autoregressive processes may be used for synthetic data generation. A number of existing relationships between clearness index and bright sunshine duration are tested. Best-fit correlations are also derived. They use bright sunshine hours or fractional total cloud amount as input. The sunshine number is a Boolean random parameter stating whether the sun is covered or not by clouds. Statistical measures for the sunshine number are defined. They are the first four statistical moments, i.e., the mean, the variance, the skewness, and the kurtosis. The dependence of the four statistical indicators on the cloud shade value has been evaluated by theory and by using measurements, respectively. There is a very good agreement between the two approaches for all statistical indicators, for all summer and winter days analyzed here, which belong to various classes of cloud shade. The results are useful for those applications where the fluctuating nature of solar radiation has to be taken into account, mainly when the energy conversion systems involved have a nonlinear response and are very sensitive to instantaneous values." @default.
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- W965500192 date "2012-11-06" @default.
- W965500192 modified "2023-09-27" @default.
- W965500192 title "State of the Sky Assessment" @default.
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- W965500192 doi "https://doi.org/10.1007/978-1-4471-4649-0_3" @default.
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