Research Article
Enhancement of Reflood Test Prediction by Integrating Machine Learning and Data Assimilation Technique
Table 4
The best enhancements for all the reflood tests.
| Test case | System state ( value) | F1 | F2 | F3 | F4 | F5 | F6 | F7 | F8 | F9 |
| Nominal | 0.225 | 0.210 | 0.150 | 0.244 | 0.235 | 0.236 | 0.194 | 0.337 | 0.207 | Stand-alone DA | 0.188 | 0.192 | 0.088 | 0.201 | 0.197 | 0.156 | 0.179 | 0.301 | 0.189 | IMD | 0.180 | 0.111 | 0.116 | 0.185 | 0.211 | 0.100 | 0.186 | 0.294 | 0.199 | Enhancement (%) | 1-(Nominal)/() | Stand-alone DA | 16.7 | 8.2 | 41.3 | 17.5 | 15.9 | 33.9 | 7.7 | 10.8 | 8.5 | IMD | 20.2 | 47.0 | 22.6 | 24.1 | 10.3 | 57.7 | 4.2 | 13.0 | 3.6 |
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value can be of either the stand-alone DA or the IMD. |