Joachim Peinke

TL;DR: In this article, an analogy between these dynamics and hydrodynamic turbulence is presented, where the authors claim that there is an information cascade in FX market dynamics that corresponds to the energy cascade in hydrodynamically turbulent flows.

TL;DR: This Review explores grand challenges in wind energy research that must be addressed to enable wind energy to supply one-third to one-half, or even more, of the world’s electricity needs.

TL;DR: In this paper, it was shown that intermittent fluctuations of the energy dissipation rate alters the scaling behavior of the probability density functions of the velocity field at different length scales and consequently lead to the scaling of the moments ksyid n l, L z n i to nonlinear n dependence of the scaling indices zn.

TL;DR: A review of the operational methods that have been developed for analyzing stochastic data in time and scale can be found in this paper, where a basic ingredient of the approach to the analysis of fluctuating data is the presence of a Markovian property, which can be detected in real systems above a certain time or length scale.

TL;DR: By the method presented in this paper drift and diffusion terms of the corresponding Fokker-Planck equation can be extracted from the noisy data sets, and deterministic laws and fluctuating forces of the dynamics can be identified.