Mehrnaz Anvari

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Nico Reinke2
M. Reza Rahimi Tabar2
2Nico Reinke
2M. Reza Rahimi Tabar
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Emergent extreme events are a key characteristic of complex dynamical systems. The main tool for detailed and deep understanding of their stochastic dynamics is the statistics of time intervals of extreme events. Analyzing extensive experimental data, we demonstrate that for the velocity time series of fully-developed turbulent flows, generated by (i) a(More)
This paper reports stochastic properties of renewable wind and solar energy resources by studying their conditional probability distribution functions (cpdf) in different time lags. The empirical results are obtained for data of global horizontal irradiance measured by a single sensor and the power output of a single wind turbine, as well as for an averaged(More)
Although fluctuations in the waiting time series have been studied for a long time, some important issues such as its long-range memory and its stochastic features in the presence of nonstationarity have so far remained unstudied. Here we find that the "waiting times" series for a given increment level have long-range correlations with Hurst exponents(More)
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