Short-term load forecasting based on eemd-woa-lstm combination model

HIGHLIGHTS

• who: Short-Term Load Forecasting Based and collaborators from the School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China have published the paper: Short-Term Load Forecasting Based on EEMD-WOA-LSTM Combination Model, in the Journal: Applied Bionics and Biomechanics of 24/08/2022
• what: The aim of this study was to better apply artificial intelligence algorithm to and effectively improve the accuracy. the long memory neural networks a combined model whale bionic optimization is proposed for Figure 3 shows the framework of the model proposed in this paper. Compared with . . .
  

   

  

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