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 methodRef. [22]The proposed methodRef. [22]The proposed methodRef. [22]

1−0.172−0.27919.7322.573.414.25
20.3570.75021.1420.623.253.97
30.1360.62116.7516.302.592.45
40.1730.23723.5725.792.773.72
5−0.437−0.32421.4925.412.093.34
60.574−0.34917.7424.752.333.47
7−0.2750.42719.2719.542.742.95
8−0.234−0.73217.5422.733.123.57
90.3140.44922.7321.742.472.75
10−0.2050.40714.1519.352.592.99
Average value0.0230.13919.7521.902.743.37