Title :
Research on the Electric Load Forecasting and Risk Assessment Based on Wavelet Neural Network
Author_Institution :
Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
This paper proposes a new method for load forecasting - the wavelet neural network model for load forecasting. The neural call function is basis of nonlinear wavelets. A wavelet network is composed by the wavelet basis function. The global optimum solution is got. We overcome the intrinsic defects of a artificial neural network that its learning speed is slow, its network structure is difficult to determine rationally and it produces local minimum points. It can be seen from the example this method can improve effectively the forecast accuracy and speed. It can be applied to the electric load forecasting.
Keywords :
load forecasting; neural nets; power engineering computing; risk management; wavelet transforms; artificial neural network; electric load forecasting; neural call function; nonlinear wavelets; risk assessment; wavelet basis function; wavelet neural network; Artificial neural networks; Function approximation; Load forecasting; Load modeling; Mathematical model; Neural networks; Predictive models; Risk management; Signal analysis; Wavelet transforms; Artificial Neural Network; Risk assessment; Wavelet Neural Network; electric Load Forecasting;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.518