Electric Vehicle Charging Management Based on Statistical Prediction

LIU Yun-fan LIU Guang-fa ZHAO Chun-guang ZHOU Han-fang YUAN Zi-hao

Computer & Telecommunication ›› 2018, Vol. 1 ›› Issue (11) : 51-53.

Computer & Telecommunication ›› 2018, Vol. 1 ›› Issue (11) : 51-53.

Electric Vehicle Charging Management Based on Statistical Prediction

Author information +
History +

Abstract

This paper firstly obtains 100 sets of parameters related to the behavioral characteristics of electric vehicles through investigation, and then analyzes and processes them with the idea of summarization. Then, it draws the distribution pattern of each behavioral characteristic quantity of electric vehicles. Using SPSS mathematical software, the average charging power of 100 electric vehicles is read every day in a week. Using the concept of standard error to obtain the mean value of the population, we can generalize the conclusions in this paper.

Key words

summary and induction / standard error / statistical prediction

Cite this article

Download Citations
LIU Yun-fan LIU Guang-fa ZHAO Chun-guang ZHOU Han-fang YUAN Zi-hao. Electric Vehicle Charging Management Based on Statistical Prediction[J]. Computer & Telecommunication. 2018, 1(11): 51-53

Accesses

Citation

Detail

Sections
Recommended

/