Fig 1.
A diagram of a digraph in two dimensions.
Fig 2.
Diagram of a four-dimensional digraph.
Fig 3.
Structure diagram of four-dimensional directed GCN model.
Fig 4.
Structure diagram of four-dimensional directed GCN-LSTM model.
Table 1.
Yangtze River Delta urban agglomeration data set.
Table 2.
Beijing-Tianjin-Hebei urban agglomeration data set.
Fig 5.
Monte Carlo Time Series Cross-Validation data sets during the first 330 days.
Table 3.
Typical correlation analysis of test data.
Fig 6.
Main view of 3D visual curve of the typical-load coefficient of xr and X.
Fig 7.
Left view of 3D visual curve of the typical-load coefficient of xr and X.
Fig 8.
Main view of 3D visual curve of the typical-load coefficient of yr and Y.
Fig 9.
. Left view of 3D visual curve of the typical-load coefficient of yr and Y.
Fig 10.
Main view of 3D visual curve of the cross-load coefficient of yr and X.
Fig 11.
Left view of the 3D visual curve of the cross-load coefficient of yr and X.
Fig 12.
Main view of 3D visual curve of the cross-load coefficient of xr and Y.
Fig 13.
Left view of the 3D visual curve of the cross-load coefficient of xr and Y.
Table 4.
Evaluation metrics for various models using the data set of Yangtze River Delta City Cluster.
Table 5.
Evaluation metrics for various models using the data set of Yangtze River Delta City Cluster.
Fig 14.
Curve of predicted and true PM2.5 concentration in Suzhou by five methods.
Fig 15.
Curve of predicted and true PM2.5 concentration in Beijing by five methods.