Title :
Output prediction of wind power generation system using complex-valued neural network
Author :
Kitajima, Takahiro ; Yasuno, Takashi
Author_Institution :
Univ. of Tokushima, Tokushima, Japan
Abstract :
In this paper, we proposed an output prediction system of a wind power generation using a complex-valued neural network (called here, CVNN). The CVNN is suitable for treating complex numbers and nonlinear data. Then we express the wind information (wind speed and direction) by complex numbers on the complex coordinates, and use them as input information for the CVNN. As input wind speed data, we use the numerical weather prediction data which are provided by Japan Meteorological Agency. Several simulation results demonstrate the effectiveness of the proposed prediction system.
Keywords :
neural nets; power engineering computing; weather forecasting; wind power; wind power plants; Japan meteorological agency; complex number; complex valued neural network; nonlinear data; output prediction; wind information; wind power generation system; wind speed data; Accuracy; Artificial neural networks; Neurons; Wind forecasting; Wind power generation; Wind speed; complex-valued neural network; output prediction; wind power generation;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
