Fusion of improved sparrow search algorithm and long short-term memory neural network application in load forecasting

HIGHLIGHTS

• who: Gwo-Ching Liao from the Department of Electrical Engineering, Fortune Institute of Technology, Kaohsiung, Taiwan have published the paper: Fusion of Improved Sparrow Search Algorithm and Long Short-Term Memory Neural Network Application in Load Forecasting, in the Journal: Energies 2022, 130 of 12/03/2019
• what: Because electricity consumption in hot weather often constitutes recordbreaking annual electricity consumption, these factors are the main reasons for the higher error value of load forecasting. In this paper, a solution to improve the LSTM-NN method for shortterm load forecasting is proposed for the complexity of . . .
  

   

  

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