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Research on the Short-term Agricultural Electric Load Forecasting of Wavelet Neural Network

IFIP Advances in Information and Communication Technology (AICT)
Publication Date
  • Agricultural Science
  • Computer Science


This paper proposes a new method for load forecasting-the wavelet neural network model for daily 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 daily agricultural electric load forecasting.Full Text at Springer, may require registration or fee

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