Author(s)

Yiran Wu, ZiShang Wu, Dengyuan Yang, Xizhe Wang

Corresponding Author

Yiran Wu

ABSTRACT

: For charging, it can be divided into indoor charging and outdoor charging. In this paper, through the establishment of neural network prediction model, power charging model, data analysis, entropy division and other models, the recent use of public resources data is obtained. Finally, according to the analysis results of these models, some suggestions on charging are put forward in the school newspaper. Electric energy consumption in public places mainly includes outdoor charging cars and indoor charging mobile phones. Based on the data of automobile sales and mobile phone sales in recent years, according to the rising trend of the number of mobile phones and electric vehicles, we can draw the conclusion that the power consumption is on the rise. Then use the neural network prediction model to predict the development trend in the next decade: with the increase of car and mobile phone sales, the demand for public facilities charges increases.

KEYWORDS

BP Neural Network; Prediction