DocumentCode
1615203
Title
Wind speed forecasting: Present status
Author
Bhaskar, Melam ; Jain, Amit ; Srinath, N. Venkata
Author_Institution
Power Syst. Res. Center, Int. Inst. of Inf. Technol. (IIIT), Hyderabad, India
fYear
2010
Firstpage
1
Lastpage
6
Abstract
A number of wind speed forecasting techniques are available in order to predict the uncertainty of the wind, which is key to estimate wind power generation availability for the grid. It is gaining more attention with the recent evolution of smart grid, which throws a challenge of integrating wind power into the grid. Several methods have been proposed to provide wind speed prediction. In the recent years there is a lot of research happening to predict wind speed with several mathematical methods and biologically inspired computing techniques to reduce the prediction error. In this paper a detailed survey of the wind speed forecasting techniques have been provided since past 15 years. An attempt is also made to identify different wind forecasting providers available in the market. This survey will be very useful to the new researchers working in this area of research. This survey will also be helpful to the wind farm owners to understand the current wind prediction model capabilities and will gives them an idea which model will be suitable for predicting the wind speed at their wind farms.
Keywords
smart power grids; technological forecasting; wind power plants; biologically inspired computing techniques; mathematical methods; prediction error; smart grid; wind farm; wind power generation; wind speed; wind speed forecasting techniques; wind speed prediction model; Artificial neural networks; Computational modeling; Forecasting; Predictive models; Wind forecasting; Wind power generation; Wind speed; Artificial neural networks; Fuzzy method; Genetic algorithm; Particle swarm optimization; Smart grid; Support vector machine; Tabu search; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Power System Technology (POWERCON), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-5938-4
Type
conf
DOI
10.1109/POWERCON.2010.5666623
Filename
5666623
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