With the global proliferation of wind power, accurate short-term forecasts of wind resources at wind energy sites are becoming paramount. Regime-switching space-time (RST) models merge meteorological and statistical expertise to obtain accurate and calibrated, fully probabilistic forecasts of wind speed and wind power. The model formulation is parsimonious, yet takes account of all the salient ...

Wind energy is rapidly increasing and it is becoming a significant contributor to the electricity grid. Wind speed is an important factor in wind power production and integration. This paper presents a wind speed forecasting using feature selection method and bagging neural network. Feature selection plays an essential role in the machine learning environment and especially in the prediction ta...

Traditional meteorological masts that are commonly used in wind energy applications are limited and very expensive to install in offshore locations. Therefore, it is necessary to search for an alternative method to replace the standard wind measurements (cup/sonic anemometers, vanes) used on a mast. The LiDAR (Light Detection And Ranging) technique has become a reasonable alternative in the las...

Operationally-significant wind speed variability is often observed within synthetic aperture radar-derived wind speed (SDWS) images of the sea surface. This paper is meant as a first step towards automated distinguishing of meteorological phenomena responsible for such variability. In doing so, the research presented in this paper tests feature extraction and pixel aggregation techniques focuse...

introduction shamal winds recognized as a climate regime with a common occurrence in the persian gulf makes periodically adverse weather conditions in this region. among the phenomena occurring under the influence of shamal wind, we can mention dust storms, low-level winds and turbulent marine conditions (rao, 2003). shamal winds are categorized into two types, winter shamal and summer shamal. ...

In order to provide an uncertainty estimate for short-term wind power predictions the accuracy of the underlying wind speed prediction is assessed quantitatively for different meteorological situations. With methods from synoptic climatology an automatic classification scheme is implemented using measurements of wind speed, wind direction and pressure at mean sea level to characterize the local...