Wind power generation is characterized by its variability and uncertainty in the wind speed. Due to the irregular nature of wind power production, accurate prediction of wind speed is essential for its application in optimum power flow, transmission congestion, economic load dispatch and electricity market clearing prices. Wind speed of a wind farm is affected by conditions of the environment i...

Introduction Conclusions References Tables Figures ◭ ◮ ◭ ◮ Back Close Full Screen / Esc Abstract Introduction Conclusions References Tables Figures ◭ ◮ ◭ ◮ Back Close Full Screen / Esc Abstract The new scatterometer Advanced SCATterometer (ASCAT) onboard MetOp-A satellite provides surface wind speed and direction over global ocean with a spatial resolution of 25 km square over two swaths of 550...

A standardized analysis of wind retrieval collocations from a set of ERS (C-band VV polarization) and RADARSAT (C-band HH polarization) synthetic aperture radar (SAR) open ocean images is presented. The field validation opportunities, carried out over the past eight years, provided collocated (in time and space) in situ validation data consisting of wind vector and ocean wave spectrum measureme...

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. ...

When animals move across a landscape, they alternate between active searching phases in areas with high prey density and commuting phases towards and in-between profitable feeding patches. Such active searching movements are more sinuous than travelling movements, and supposedly more costly in energy. Here we provide an empirical validation of this long-lasting assumption. To this end, we evalu...

A large eddy simulation (LES) program with the Smagorinsky subgrid-scale model has been used to study cross natural ventilation in buildings, which has experimental data available from on-site measurements and a wind tunnel. Since natural wind changes direction over time, it is hard to reproduce this effect in a conventional wind tunnel where the “wind” direction is fixed. There are discrepanci...

The present study analyzes air quality for Carbon monoxide (CO), in Esfahan with the measurements taken in three different locations to prepare average data in the city. The average concentrations have been measured every 24 hours, every month and every season with the results showing that the highest concentration of CO occurs generally in the morning and at the beginning of night, while the l...

In this paper, a comparison study is presented on artificial intelligence and time series models in 1-hour-ahead wind speed forecasting. Three types of typical neural networks, namely adaptive linear element, multilayer perceptrons, and radial basis function, and ARMA time series model are investigated. The wind speed data used are the hourly mean wind speed data collected at Binalood site in I...