A spatial-temporal causal convolution network framework for accurate and fine-grained pm2.5 concentration prediction

HIGHLIGHTS

• who: Shaofu Lin et al. from the Faculty of Information Technology, Beijing University of Technology, Beijing, China have published the Article: A Spatial-Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM2.5 Concentration Prediction, in the Journal: Entropy 2022, 24, 1125. of 16/04/2022
• what: In this paper causal convolution network framework is proposed. In this paper, MSE, RMSE, MAE and R2 are utilized as evaluation metrics, and the performance of each model is obtained by five-fold cross validation. The ST-CCN-PM2.5 model proposed in this study provides . . .
  

   

  

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