Research Article
Assessment of Three Learning Machines for Long-Term Prediction of Wind Energy in Palestine
Table 3
RMSE, MBE, and
values for the proposed models.
| | CFNN | RFs | SVM | RMSE | MBE | | RMSE | MBE | R2 | RMSE | MBE | |
| Jenin | 22.71 | 2.66 | 0.9992 | 26.05 | 2.96 | 0.9990 | 32.64 | −11.23 | 0.9985 | Hebron | 58.08 | 5.64 | 0.9996 | 341.52 | −34.56 | 0.9913 | 114.65 | 6.60 | 0.9989 | Jericho | 31.08 | −3.40 | 0.9997 | 23.71 | −2.42 | 0.9998 | 57.70 | 2.08 | 0.9993 | Ramallah | 20.42 | −5.48 | 0.9995 | 47.93 | −2.42 | 0.9971 | 34.32 | −19.09 | 0.9991 |
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