[1] Solar wind magnetometer and plasma data and magnetometer data acquired by Cluster in the magnetospheric plasma sheet are employed to construct probability distribution functions (PDFs) of magnetic field fluctuations over various temporal and spatial scales. This technique, often used in analysis of laboratory plasmas, is used to look for intermittent plasma turbulence and non-self-similar p...

In the present study, we define a functional by means of Kullback-Leibler (K-L) measure for continuous random variables and consider its properties. By virtue of this functional, we suggest a new generalization of K-L optimization principle (GKOP). Due to the defined GKOP, it is possible to obtain the probability distribution of the system which is closer to the true distribution in the sense o...

Olofsson, E. 2006. Supporting management of the risk of wind damage in south Swedish forestry. Doctor’s dissertation. ISSN 1652-6880, ISBN 91-576-7095-1 Private forest owners in southern Sweden consider wind damage to be one of the most problematic risks from an economic perspective. A potential climate change also raises the question of the possible impact of such a climate change on the risk ...

Wind damage is known for causing threats to sustainable forest management and yield value in boreal forests. Information about wind damage risk can aid forest managers in understanding and possibly mitigating damage impacts. The objective of this research was to better understand and quantify drivers of wind damage, and to map the probability of wind damage. To accomplish this, we used open-acc...

A wind farm is a collection of wind turbines built in an area to provide electricity. Wind power is a renewable energy resource and an alternative to non-renewable fossil fuels. In this paper impact of wind farms in power system reliability is investigate and a new procedure for reliability assessment of wind farms in HL1 level is proposed. In proposed procedure, application of Fuzzy – Markov f...

Observations of young open clusters have revealed a bimodal distribution of fast and slower rotation rates that has proven difficult to explain with predictive models of spin down that depend on rotation rates alone. The Metastable Dynamo Model proposed recently by Brown, employing a stochastic transition probability from slow to more rapid spin down regimes, appears to be more successful but l...

In this paper, to model a real life wind turbine, a probabilistic approach is proposed to model the dynamics of the blade elements of a small axial wind turbine under extreme stochastic wind speeds conditions. It was found that the power and the torque probability density functions even-dough decreases at these extreme wind speeds but are not infinite. Moreover, we also fund that it is possible...