Title :
Wind power forecasting model using complex wavelet theory
Author :
Mishra, Sukumar ; Sharma, Anuj ; Panda, Ganpati
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Delhi, India
Abstract :
Due to growing share of wind power in world´s energy consumption, forecasting of the wind power becomes essential for proper utilization. This paper proposes short term wind power forecasting model using complex wavelet transform and neural network. The past wind power values are transferred into real and complex signal; which are further transferred in Wavelet domain signal. These signals are used to predict next hour wind power using neural network. This approach is tested using data from Alberta wind farm.
Keywords :
load forecasting; neural nets; power consumption; wavelet transforms; wind power; wind power plants; Alberta wind farm; complex wavelet transform; energy consumption; neural network; wind power forecasting model; Continuous wavelet transforms; Discrete wavelet transforms; Forecasting; Predictive models; Wind power generation; Complex wavelet; Neural network; Wind Power forecasting;
Conference_Titel :
Energy, Automation, and Signal (ICEAS), 2011 International Conference on
Conference_Location :
Bhubaneswar, Odisha
Print_ISBN :
978-1-4673-0137-4
DOI :
10.1109/ICEAS.2011.6147151
