The impact of topography on the diurnal patterns of surface flow is of great importance, significantly modifying the wind speed spatial distribution and the vertical structure of the lower atmosphere. In this work, two feed forward neural network architectures are examined for their ability to...

Wind energy potential in various parts of Turkey is becoming economical due to reductions in the wind turbine costs, and in fossil fuel atmospheric pollution. The global change program imposes restrictions for use of alternative renewable and environmentally friendly energy sources. Wind energy...

A method of estimating the annual average wind speed at a selected site using neural networks is presented. The method proposed uses only a few measurements taken at the selected site in a short time period and data collected at nearby fixed stations.

Spectra of many meteorological data such as wind speed and temperature are time variable. Thus a Fourier analysis is not sufficient. In the present work, the wavelet transform is applied as a time-frequency analysis to the meteorological data for the region of Adrar (27.9°N, 0.3°W, 263m),...

The wind speed distribution and wind energy potential are investigated in three selected locations in Oyo state using wind speed data that span between 12 and 20 years measured at 10 m height. In addition, the performance of selected small to medium size wind turbines in these sites were...

The properties of wind persistence are an essential parameter in carrying out a complete analysis of possible sites for a wind farm. This parameter can be defined as a measure of the mean duration of wind speed within a given interval of values for a concrete site. In this study the persistence...

Many developing nations, such as India have embarked upon wind energy programs for areas experiencing high average wind speeds throughout the year. One of the states in India that is actively pursuing wind power generation programs is Tamil Nadu. Within this state, Muppandal area is one of the...

The present study aims at evaluating the performance of wind speed sensors installed at different heights on a 40m tall wind mast during a period of 33 months between July 01, 2006 and April 01, 2009. The performance has been evaluated by estimating the tower distortion factor (TDF), scatter...

This paper presents a wind-resource atlas of Venezuela based on wind observations recorded from on-site meteorological stations. Meteorological datasets of 32 weather stations located over northern Venezuela are used in the development of the maps of three main regions in Venezuela: West,...

So-called Measure-Correlate-Predict (MCP) methods have been extensively proposed in renewable energy related literature to estimate the wind resources that represent the long-term conditions at a target site where a short-term wind data measurement campaign has been held.