Table 7 RMSE test for artificial neural network models.
Neural network | Moder A | Moder B | Moder C | Moder D | ||||
|---|---|---|---|---|---|---|---|---|
Input: PV,PP,FC,SI,HM,CE,GQ | Input: PV,PP,FC,SI,HM,CE,GQ | Input: PBC,SN | Input: PBC,AT,SN | |||||
Output: PBC | Output: SN | Output: AT | Output: PI | |||||
Training | Testing | Training | Testing | Training | Testing | Training | Testing | |
ANN1 | 0.293 | 0.349 | 0.292 | 0.283 | 0.373 | 0.326 | 0.288 | 0.258 |
ANN2 | 0.275 | 0.380 | 0.323 | 0.320 | 0.345 | 0.420 | 0.258 | 0.225 |
ANN3 | 0.311 | 0.258 | 0.342 | 0.374 | 0.343 | 0.466 | 0.220 | 0.148 |
ANN4 | 0.298 | 0.288 | 0.309 | 0.183 | 0.367 | 0.269 | 0.276 | 0.397 |
ANN5 | 0.290 | 0.230 | 0.282 | 0.167 | 0.366 | 0.237 | 0.314 | 0.277 |
ANN6 | 0.289 | 0.296 | 0.290 | 0.262 | 0.351 | 0.460 | 0.258 | 0.314 |
ANN7 | 0.277 | 0.309 | 0.276 | 0.289 | 0.363 | 0.397 | 0.321 | 0.222 |
ANN8 | 0.327 | 0.243 | 0.296 | 0.189 | 0.388 | 0.219 | 0.316 | 0.301 |
ANN9 | 0.330 | 0.280 | 0.289 | 0.269 | 0.366 | 0.212 | 0.330 | 0.249 |
ANN10 | 0.286 | 0.236 | 0.276 | 0.265 | 0.377 | 0.528 | 0.289 | 0.426 |
Mean | 0.298 | 0.287 | 0.298 | 0.260 | 0.364 | 0.353 | 0.287 | 0.282 |
SD | 0.135 | 0.216 | 0.142 | 0.248 | 0.116 | 0.331 | 0.182 | 0.280 |