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Computer & Telecommunication  2018, Vol. 1 Issue (11): 51-53    DOI:
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Electric Vehicle Charging Management Based on Statistical Prediction
Shandong University of Science and Technology
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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 wordssummary and induction      standard error      statistical prediction     
Published: 16 January 2019
ZTFLH:  F426.471  

Cite this article:

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

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http://www.computertelecom.com.cn/EN/     OR     http://www.computertelecom.com.cn/EN/Y2018/V1/I11/51

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