Table 2.
Summary of training settings of LSTM network for renewable generation prediction.
| Network | Hyperparameter | Value/Function |
|---|---|---|
| Encoder | Encoder length | 36 |
| Layers | 1 | |
| Hidden states | 200 | |
| Kernel_regularizer | 0.001 | |
| Activation function | Relu25 | |
| Decoder | Decoder length | 12 |
| Layers | 1 | |
| Hidden states | 200 | |
| Activation function | Relu | |
| Kernel_regularizer | 0.001 | |
| MLP layers | 1 | |
| MLP activation function | Tanh26 | |
| Others | Epochs | 100 |
| Batch size | 64 | |
| Loss function | Mean squared error27 | |
| Optimizer | Nadam28 |