Wind Speed Forecasting Based on FNN in Wind Farm

Zheng Ning Fu; Hong Wen Xie

doi:10.4028/www.scientific.net/AMM.651-653.1117

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Wind Speed Forecasting Based on FNN in Wind Farm

Wind Speed Forecasting Based on FNN in Wind Farm

Abstract:

Wind speed forecasting plays a significant role to the operation of wind power plants and power systems. An accurate forecasting on wind power can effectively relieve or avoid the negative impact of wind power plants on power systems and enhance the competition of wind power plants in electric power market. Based on a fuzzy neural network (FNN), a method of wind speed forecasting is presented in this paper. By mining historical data as the learning stylebook, the fuzzy neural network (FNN) forecasts the wind speed. The simulation results show that this method can improve the accuracy of wind speed forecasting effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

1117-1122

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.1117

Citation:

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Online since:

September 2014

Authors:

Zheng Ning Fu*, Hong Wen Xie

Keywords:

FNN, Neural Network (NN), Wind Speed Forecast

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* - Corresponding Author

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