Short Term Load Forecasting by Using Neural Networks with Variable Activation Functions and Embedded Chaos Algorithm

  • Qiyun Cheng
  • Xuelian Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


In this paper a novel variant activation (transform) sigmoid function with three parameters is proposed, and then the improved BP algorithm based on it is educed and discussed, then Embedded Chaos-BP algorithm is proposed by means of combining the new fast BP algorithm and chaos optimization algorithm, Embedded chaos-BP algorithm converges fast and globally, and has no local minimum. The efficiency and advantage of our method is proved by simulation results of nonlinear function and prediction results of short-term load based on the improved and traditional BP ANNs.


Back Propagation Load Forecast Back Propagation Algorithm Short Term Load Chaos System 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Qiyun Cheng
    • 1
  • Xuelian Liu
    • 1
  1. 1.Guiyang South Power Supply Bureau, Guizhou Power Grid Co.GuiyangChina

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