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Published at December 10Modeling High-Resolution Spatio-Temporal Wind with Deep Echo State Networks and Stochastic Partial Differential Equations
stat.ML
cs.LG
Released Date: December 10, 2024
Authors: Kesen Wang1, Minwoo Kim2, Stefano Castruccio3, Marc G. Genton1
Aff.: 1King Abdullah University of Science and Technology; 2Pusan National University; 3University of Notre Dame

| Lead (hr) | One | Two | Three |
| Knots | |||
| B-ESN | 0.065 (0.214) | 0.115 (0.355) | 0.157 (0.470) |
| ESN | 0.064 (0.209) | 0.125 (0.386) | 0.173 (0.519) |
| GRU | 0.308 (0.888) | 0.380 (1.069) | 0.428 (1.194) |
| LSTM | 0.265 (0.743) | 0.351 (0.951) | 0.419 (1.127) |
| PER | 0.077 (0.277) | 0.198 (0.653) | 0.311 (0.976) |
| VAR | 0.087 (0.272) | 0.162 (0.486) | 0.216 (0.635) |
| All locations | |||
| B-ESN | 0.081 (0.267) | 0.133 (0.403) | 0.173 (0.510) |
| ESN | 0.078 (0.255) | 0.141 (0.426) | 0.189 (0.557) |
| B-ESN-L | 0.088 (0.290) | 0.140 (0.425) | 0.181 (0.530) |
| PER | 0.077 (0.276 ) | 0.197 (0.669) | 0.310 (0.974) |