Research Article
Short-Term Load Forecasting Method Based on Deep Reinforcement Learning for Smart Grid
Table 2
Parameter configuration of forecasting network.
| Configuration | Parameter |
| (a) DNN network | Number of hidden layers | 20 | Number of neurons in layer 1–5 network | 8192 | Number of neurons in layer 6–10 network | 4096 | Number of neurons in layer 11–15 network | 2048 | Number of neurons in layer 16–20 network | 1080 | (b) Chaotic particle swarm optimization | Population number | 15 | Maximum number of iterations | 35 | Acceleration constant | 0.26 | Acceleration constant | 0.48 |
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