International Core Journal of Engineering 2020-26 | Page 169

VI. C ONCLUSION
[7]
By comparison, it can be concluded that the BP network
prediction error after optimizing the initial value and the
threshold is small, improving the accuracy of the prediction
and shortening the training time, that is, the optimization
algorithm combining the genetic algorithm and the neural
network is applied to the station area. The short-term load
forecasting of the distribution network is reasonable and
effective.
[8]
[9]
[10]
A CKNOWLEDGEMENT
This work was supported by the Yangzhou University and
Yangzhou City Science and Technology Cooperation Project.
(20180928000004)
[11]
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