Title :
Research on Mid-long Term Load Forecasting Base on Wavelet Neural Network
Author :
Zhang, Qian ; Liu, Tongna
Author_Institution :
Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
Abstract :
This paper put forward a new method of the wavelet neural network model for mid-long term load forecasting. The neural call function is basis of nonlinear wavelets. We overcome the shortcoming of single train set of ANN. It can be seen from the example this method can improve effectively the forecast accuracy and speed. The forecast model was tested and the result showed that it was an effective way to forecast mid-long term electric load.
Keywords :
load forecasting; neural nets; power engineering computing; wavelet transforms; Wavelet neural network; mid-long term load forecasting; neural call function; nonlinear wavelets; Artificial neural networks; Load forecasting; Neural networks; Power engineering and energy; Predictive models; Risk management; Signal analysis; Support vector machines; Wavelet analysis; Wavelet transforms; Wavelet Neural Network; electric Load Forecasting;
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
DOI :
10.1109/ICCEA.2010.195
