Table 3.
Analyzing and comparing the results of methods DT, BPNN, LSTM, and Bi-LSTM in solar radiation forecasting
| Region | DT | BPNN | LSTM | Bi-LSTM | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MSE | RMSE | MAE | MAPE | R2 | MSE | RMSE | MAE | MAPE | R2 | MSE | RMSE | MAE | MAPE | R2 | MSE | RMSE | MAE | MAPE | R2 | |
| Birjand | 0.0027 | 0.051 | 0.024 | 1.47 | 0.97 | 0.0033 | 0.057 | 0.029 | 1.52 | 0.97 | 0.0019 | 0.043 | 0.020 | 1.39 | 0.97 | 0.0013 | 0.036 | 0.017 | 1.31 | 0.98 |
| Seydabad | 0.0051 | 0.071 | 0.039 | 2.60 | 0.94 | 0.0054 | 0.073 | 0.042 | 2.65 | 0.93 | 0.0046 | 0.067 | 0.034 | 2.52 | 0.95 | 0.0043 | 0.065 | 0.034 | 2.51 | 0.96 |
| Abhar | 0.0054 | 0.073 | 0.043 | 2.92 | 0.94 | 0.0051 | 0.071 | 0.039 | 2.58 | 0.94 | 0.0046 | 0.067 | 0.042 | 2.97 | 0.95 | 0.0044 | 0.066 | 0.040 | 2.96 | 0.96 |
| Mahan | 0.0070 | 0.083 | 0.044 | 2.93 | 0.93 | 0.0072 | 0.084 | 0.045 | 2.90 | 0.94 | 0.0075 | 0.086 | 0.047 | 2.84 | 0.93 | 0.0060 | 0.077 | 0.031 | 2.72 | 0.95 |
| Eqlid | 0.0063 | 0.079 | 0.058 | 3.40 | 0.93 | 0.0065 | 0.080 | 0.060 | 3.39 | 0.93 | 0.0058 | 0.076 | 0.053 | 3.49 | 0.94 | 0.0046 | 0.067 | 0.040 | 3.29 | 0.96 |
| Khaf | 0.0037 | 0.060 | 0.034 | 1.54 | 0.97 | 0.0044 | 0.066 | 0.039 | 1.61 | 0.96 | 0.0031 | 0.055 | 0.029 | 1.47 | 0.97 | 0.0020 | 0.044 | 0.019 | 1.24 | 0.98 |
| Meybod | 0.0040 | 0.063 | 0.039 | 1.61 | 0.97 | 0.0042 | 0.064 | 0.043 | 1.67 | 0.97 | 0.0027 | 0.051 | 0.027 | 1.43 | 0.98 | 0.0024 | 0.048 | 0.023 | 1.41 | 0.97 |
| Abadeh | Failed | Failed | Failed | Failed | ||||||||||||||||
| Jarqavieh | Failed | Failed | Failed | Failed | ||||||||||||||||
| Arak | Failed | Failed | Failed | Failed | ||||||||||||||||