A dual-attention-mechanism multi-channel convolutional lstm for short-term wind speed prediction

HIGHLIGHTS

• who: Jinhui He and colleagues from the Department of Computer Science, Chengdu University of Information Technology, Chengdu, China have published the article: A Dual-Attention-Mechanism Multi-Channel Convolutional LSTM for Short-Term Wind Speed Prediction, in the Journal: Atmosphere 2023, 71 of /2023/
• what: The authors proposed a dual-attention mechanism multi-channel convolutional LSTM (DACLSTM) collected European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5) near-ground element-grid data from some parts of North China and selected elements with high correlations with to form multiple channels. Zhenkun Liu et_al developed . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.