Research Article
Artificial Neural Networks to Predict the Power Output of a PV Panel
Table 6
ANNs results for the Sanyo panel; bold identifies the ANNs with the best performance.
| | Topology | Error distribution [W] | Absolute error distribution [W] | Epochs | Time [s] | | Mean | Median | Stdev | Mean | Median | Stdev |
| | Mlp_1 | −0.1 | −0.8 | 9.1 | 4.9 | 3.0 | 7.8 | 3162 | 3 | | Mlp_2 | −3.8 | −3.1 | 5.3 | 4.6 | 3.4 | 4.7 | 16176 | 16 | | RNN_1 | −1.3 | −0.1 | 10.1 | 5.7 | 3.8 | 8.4 | 3361 | 29 | | RNN_2 | −1.7 | 0.04 | 10.3 | 5.9 | 4.0 | 8.6 | 305 | 3 | | Gamma_1 | 0.02 | 0.4 | 9.4 | 6.01 | 4.5 | 7.3 | 182 | 9 | | Gamma_2 | 0.2 | 0.7 | 5.9 | 4.5 | 4.0 | 3.8 | 3134 | 27 |
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