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

  • Qian Zhang
Conference paper
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 259)

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.

Keywords

Artificial Neural Network Wavelet Neural Network Agricultural electric Load Forecasting 

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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Qian Zhang
    • 1
  1. 1.Department of Economic ManagementNorth China Electric Power UniversityChina

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