Research Article
Short-Term Load Forecasting Method Based on Deep Reinforcement Learning for Smart Grid
Table 3
IMF analysis performance under different methods.
| | Component | (%) | (MW) |
| | (a) IEMD method proposed in this study | | IMF 1 | 12.21 | 1.281 | | IMF 2 | 11.59 | 0.957 | | IMF 3 | 11.15 | 1.064 | | IMF 4 | 9.47 | 0.737 | | IMF 5 | 10.11 | 0.901 | | IMF 6 | 6.57 | 0.799 | | IMF 7 | 4.97 | 0.613 | | IMF 8 | 8.01 | 0.771 | | R | 0.059 | 0.011 | | (b) Traditional EMD method | | IMF 1 | 15.25 | 2.149 | | IMF 2 | 10.51 | 1.578 | | IMF 3 | 12.54 | 1.746 | | IMF 4 | 10.87 | 0.994 | | IMF 5 | 12.57 | 1.024 | | Vb | 0.501 | 0.084 |
|
|