Research Article
Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature
Table 10
Control parameters for experiment.
| Control parameter | Method |
| Input | | Num. of training samples | 1,500,000 | Num. of test samples | 500,000 | Time step | 500 | Num. of epochs | 1000 | Cost function | Mean Squared Error | Optimization | Adam | Preprocessing | -Score | Weight init. | He initialization | Regularization | Dropout |
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