Solar power prediction using dual stream cnn-lstm architecture

HIGHLIGHTS

• who: Hamad Alharkan and collaborators from the Department of Electrical Engineering, Unaizah College of Engineering, Qassim University, Unaizah, Saudi Arabia have published the research: Solar Power Prediction Using Dual Stream CNN-LSTM Architecture, in the Journal: Sensors 2023, 23, 945. of /2023/
• what: The following are the main contributions of this work: To select the most suitable model for solar power prediction, an ablation study is conducted, where the main objective is to evaluate the performance of several techniques including CNN, LSTM, GRU, CNNLSTM, CNNGRU, and DSCLANet to select an accurate prediction model for solar . . .
  

   

  

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