Abstract The article described the relevant knowledge of wind speed prediction and verification method forecast. First, characteristics are general analyzed. Through form wind, frequency shear turbulence it was found that had instability non-linear characteristics. By analysing basic principles three methods included time series, neural network empirical mode decomposition, series proposed. On ...

this paper presents a probabilistic optimal power flow (popf) algorithm considering different uncertainties in a smart grid. different uncertainties such as variation of nodal load, change in system configuration, measuring errors, forecasting errors, and etc. can be considered in the proposed algorithm. by increasing the penetration of the renewable energies in power systems, it is more essent...

This paper develops an effectively intelligent model to forecast short-term wind speed series. A hybrid forecasting technique is proposed based on recurrence plot (RP) and optimized support vector regression (SVR). Wind caused by the interaction of meteorological systems makes itself extremely unsteady and difficult to forecast. To understand the wind system, the wind speed series is analyzed u...

Wind speed forecasts obtained by Numerical Weather Prediction models are limited for fine interpretation in heterogeneous terrain, which different roughnesses and orographies occur. This limitation is derived from the use of low-resolution grid-box averaged data. In this paper a dynamical downscaling method presented to increase local accuracy wind forecasts. The proposed divides forecasting in...

Accurate short-term wind speed forecasting plays an important role in the development of energy. However, inertia airflow means that has properties time variance and inertia, which pose a challenge task forecasting. We employ variable support segment method to describe these two properties. then propose segment-based model improve accuracy. The core idea is adaptively determine future by self-a...

With the expansion of wind farm installations in most countries all over the world, the power generation has already significantly influenced on the stability and security of the power grid after gridconnection. Wind power forecasting is an effective method for guarantees stability of the power output from wind farm. This paper proposed an improved GM(1,1) based prediction method, and focuses o...

Wind energy is one of the speedy processing technologies in generation industry and most economical methods electrical power generation. For reliability system, it wanted to improve highly appropriate wind speed forecasting methods. The wavelet transform a powerful mathematical technique that converts an analyzed signal into time-frequency representation. This has proven useful nonstationary ti...

The power generated by a wind turbine largely depends on the wind speed. During time periods with identical hub-height wind speeds but different shapes to the wind profile, a turbine will produce different amounts of power. This variability may be induced by atmospheric stability, which affects profiles of mean wind speed, direction and turbulence across the rotor disk. Our letter examines turb...