Research Article
A Novel Data-Driven Method for Medium-Term Power Consumption Forecasting Based on Transformer-LightGBM
Table 3
Parameter setting for comparison methods.
| Model | Parameters | Value |
| CNN-LSTM | input | 0 | conv1d | 48 | max_pooling1d | 0 | dropout | 0 | dense | 17 |
| CNN-BiLSTM | input | 0 | conv1d | 48 | max_pooling1d | 0 | dropout | 0 | bilstm | 4224 | multiply | 0 | dense | 33 |
| CNN-ATT-LSTM | input | 0 | conv1d | 48 | max_pooling1d | 0 | dropout | 0 | attention_vec | 1056 | multiply | 0 | dense | 33 |
| CNN-ATT-BiLSTM | input | 0 | conv1d | 48 | max_pooling1d | 0 | dropout | 0 | bilstm | 4224 | attention_vec | 1056 | multiply | 0 | dense | 33 |
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