Table 3.
Fully connected deep neural network model statistics | ||||||
---|---|---|---|---|---|---|
Prediction size (forecast) | Train RMSE [°C] | Test RMSE [°C] | Train r2 | Test r2 | Train F1 | Test F1 |
6 h | 1.55 | 1.53 | 0.99 | 0.98 | 0.96 | 0.96 |
12 h | 1.72 | 1.84 | 0.98 | 0.98 | 0.96 | 0.95 |
24 h | 2.06 | 2.23 | 0.97 | 0.96 | 0.95 | 0.94 |
30 h | 2.34 | 2.69 | 0.96 | 0.95 | 0.94 | 0.92 |
36 h | 2.53 | 2.96 | 0.96 | 0.95 | 0.94 | 0.91 |
48 h | 2.7 | 2.94 | 0.95 | 0.94 | 0.94 | 0.93 |
The DNN model uses a sequential model with elu activation.