Research on the electric load forecasting and risk assessment based on wavelet neural network

Authors:
Tongna Liu
Affiliations:
Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, Hebei,China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Neural Networks

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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.