Investigation of wind power density distribution using Rayleigh probability density function

Efficient Estimation of the Density and Cumulative Distribution Function of the Generalized Rayleigh Distribution

The uniformly minimum variance unbiased (UMVU), maximum likelihood, percentile (PC), least squares (LS) and weighted least squares (WLS) estimators of the probability density function (pdf) and cumulative distribution function are derived for the generalized Rayleigh distribution. This model can be used quite effectively in modelling strength data and also modeling general lifetime data. It has...

Optimal power flow based on gray wolf optimization algorithm using probability density functions extraction considering wind power uncertainty

In recent years, utilization of the renewable based power plants has become widespread in the power systems. One of the most widely used renewable based power plants is wind power plants. Due to the utilization of wind energy to generate electricity, wind turbines have not emitted any environmental pollution. Thus, in addition to economic benefits, utilization of these power plants is of great ...

Relationship between the Rayleigh Density and Some Well Known Probability Densities 10 Joint Probability Density Function of Two Independent Rayleigh

Application of Rayleigh probability density function in electromagnetic wave propagation

In this study, signal voltage obtained at the receiver is investigated by taking the Rayleigh Probability Density Function into account. Probability of received signal and occurrence of incoming signal between two levels are also studied. Success percentage, requirement of how much the receiver is to be modified and variation of voltage or power at the output with respect to time are simulated ...

Using Conditional Kernel Density Estimation for Wind Power Density Forecasting

Of the various renewable energy resources, wind power is widely recognized as one of the most promising. The management of wind farms and electricity systems can benefit greatly from the availability of estimates of the probability distribution of wind power generation. However, most research has focused on point forecasting of wind power. In this paper, we develop an approach to producing dens...