The empirical mode decomposition (EMD) is well known for predicting wind speed.However, but the joint application of relevance vector machine (RVM) and empirical mode decomposition in wind speed forecasting is seldom found in the field. This paper proposes a relevance vector machine model based on empirical mode decomposition to predict the wind speed. Before the wind speed forecasting with RVM...

This paper deals with a neural network approach for Short term wind speed forecasting. Now a day, short-term wind speed forecasts have become gradually more important for the power system management or energy trading due to the large penetration of wind power technology and development of wind energy markets. In this new era, short-term wind speed forecasting is necessary for producers and cons...

A method for prediction of wind speed at a selected location based on the data collected at neighborhood locations is presented. The affinity of wind speeds measured at different locations is defined by Pearson’s correlation coefficient. Five turbines with similar wind conditions are selected among 30 wind turbines for in-depth analysis. The wind data from these turbines are used to predict win...

The amount of wind power generation aims for three millions kWh by 2010 in Japan. It is very few offshore construction in Japan compared with European countries. It is generally said that offshore wind energy is greater than in land area, and few disturbance. In Japan, suitable construction sites for wind power generation in land are decreasing, then, the construction of wind power generation i...

Estimation of wind speed at proposed hub heights is typically achieved using a wind shear exponent or wind shear coefficient (WSC), variation in wind speed as a function of height. The WSC is subject to temporal variation at low and high frequencies, ranging from diurnal and seasonal variations to disturbance caused by weather patterns; however, in many cases, it is assumed that the WSC remains...

Accurate short-term wind power forecasting with quantification of the associated uncertainty is crucial for the management of energy systems including wind power generation. On top of the inherent uncertainty in wind speed, it is necessary to account also for the uncertainty in the relationship between wind speed and the corresponding power production, typically described by a power curve whose...

High speed wind tunnels are widely used in the study of fluid flow behavior around various objects. The air flow in the starting step of supersonic wind tunnels is transient including strong shock waves caused by the interaction of the tunnel main stream and the boundary layer at walls. To arrive in running step, the tunnel must be designed so as these waves leave immediately the test section. ...

in this paper the maximum power point tracking (mppt) algorithms for wind energy systems arereviewed. as the amounts of power produced in wind power plants is changing due to theinstantaneous changing nature of the wind, it is desirable to determine the one optimal generatorspeed that ensures maximum energy yield. thus, it is important to include a controller that cantrack the maximum peak rega...

The characteristics of wind turbine systems such as nonlinearity, uncertainty and strong coupling, as well as external interference, present great challenges in wind turbine controller design. In this paper, a quasi-continuous high-order sliding mode method is used to design controllers due to its strong robustness to external disturbances, unmodeled dynamics and parameter uncertainties. It can...

Wind energy contribution as a source of energy in electric utility systems around the world is on the increase. One of the major challenges of wind energy generation is its natural intermittency; unpredictability, and uncertainty. In this paper, two and three dimensional visualization profiles were presented for the power coefficient. Further, two and three dimensional profiles for the turbine ...