Research Article
An Optimal Algorithm for Renewable Energy Generation Based on Neural Network
Table 6
Comparison of the prediction time of the proposed and existing algorithms.
| | | Training times |
| Model | | 100 | 200 | 300 | Ref. [30] | Training time | 11.6 s | 15.8 s | 19.4 s | Testing time | 0.91 s | 0.89 s | 0.88 s | Ref. [31] | Training time | 15.2 s | 30.9 s | 46.1 s | Testing time | 1.49 s | 1.47 s | 1.48 s |
| Model | | 25 | 50 | 75 | Attention-based CNN-LSTM | Training time | 17.1 s | 32.3 s | 47.4 s | Testing time | 1.53 s | 1.49 s | 1.52 s | Proposed IAM-CNN-LSTM | Training time | 16.8 s | 31.5 s | 46.3 s | Testing time | 1.51 s | 1.49 s | 1.48 s |
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