Research Article
Load Forecasting Method Based on Improved Deep Learning in Cloud Computing Environment
Table 2
Comparison results of different load forecasting methods.
| Date | (MW) | (%) | (%) | The proposed method | Ref. [22] | The proposed method | Ref. [22] | The proposed method | Ref. [22] |
| 1 | −0.172 | −0.279 | 19.73 | 22.57 | 3.41 | 4.25 | 2 | 0.357 | 0.750 | 21.14 | 20.62 | 3.25 | 3.97 | 3 | 0.136 | 0.621 | 16.75 | 16.30 | 2.59 | 2.45 | 4 | 0.173 | 0.237 | 23.57 | 25.79 | 2.77 | 3.72 | 5 | −0.437 | −0.324 | 21.49 | 25.41 | 2.09 | 3.34 | 6 | 0.574 | −0.349 | 17.74 | 24.75 | 2.33 | 3.47 | 7 | −0.275 | 0.427 | 19.27 | 19.54 | 2.74 | 2.95 | 8 | −0.234 | −0.732 | 17.54 | 22.73 | 3.12 | 3.57 | 9 | 0.314 | 0.449 | 22.73 | 21.74 | 2.47 | 2.75 | 10 | −0.205 | 0.407 | 14.15 | 19.35 | 2.59 | 2.99 | Average value | 0.023 | 0.139 | 19.75 | 21.90 | 2.74 | 3.37 |
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