Short-term electricity load forecast performance comparison based on four neural network models

@article{Jiesheng2015ShorttermEL,
  title={Short-term electricity load forecast performance comparison based on four neural network models},
  author={Wang Jie-sheng and Zhu Qing-wen},
  journal={The 27th Chinese Control and Decision Conference (2015 CCDC)},
  year={2015},
  pages={2928-2932}
}
Neural network methods are widely used in the prediction of chaos time series due to their versatility and small computation amount. In order to improve the prediction accuracy and real-time of all kinds of information in the short-term electricity load time series, four neural network methods with the ideal powerful capacity in non-linear modeling and predicting, such as back-propagation neural network (BPNN), ELMAN neural network, fuzzy neural network (FNN) and wavelet neural network (WNN… CONTINUE READING
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