A new short-term load forecast method based on neuro-evolutionary algorithm and chaotic feature selection

@inproceedings{Kouhi2016ANS,
  title={A new short-term load forecast method based on neuro-evolutionary algorithm and chaotic feature selection},
  author={Sajjad Kouhi and Farshid Keynia and Sajad Najafi Ravadanegh},
  year={2016}
}
In competitive environment of deregulated electricity market, short-term load forecasting (STLF) is a major discussion for efficient operation of power systems. Therefore, the area of electricity load forecasting is still essential need for more accurate and stable load forecast algorithm. However, the electricity load is a non-linear signal with high degree of volatility. In this paper, a new forecasted method based on neural network (NN) and chaotic intelligent feature selection is presented… CONTINUE READING
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