Title :
The Intelligent Methods Used in Prediction the Wind Speed and Output Power of Wind Farm
Author :
Zhang, Xinyan ; Chen Chongchong ; Wang, Weiqing ; Dai, Yi
Author_Institution :
Sch. of Electr. Eng., Xinjiang Univ., Urumqi, China
Abstract :
The wind speed and wind power of wind farm prediction become more and more important as the increasing installation of wind turbines and the establishment of the large scale wind farms. Because the stochastic and intermittent property of wind speed, the prediction problem is very difficult to solve. The prediction method using BP neural network, wavelet BP neural network, and supported vector machine was studied in this paper. The simulation results shows that the method used in this paper can give a better prediction, but there is still more other algorithm need to be studied to enhance the prediction precision.
Keywords :
backpropagation; neural nets; power engineering computing; stochastic processes; support vector machines; wind power; wind power plants; wind turbines; intelligent method; intermittent property; stochastic property; support vector machine; wavelet BP neural network; wind farm; wind power; wind speed; wind turbines; Support vector machines; Wind energy; Wind farms; Wind power generation; Wind speed; Wind turbines;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307085