Open Access
MATEC Web Conf.
Volume 176, 2018
2018 6th International Forum on Industrial Design (IFID 2018)
Article Number 01042
Number of page(s) 5
Section Intelligent Design and Computer Technology
Published online 02 July 2018
  1. Wang Feilong, Sun Kaihang, Li Yanqing. Demand prediction of electric vehicle charging stations based on user classification [J]. Heilongjiang Electric Power, 2013, 35(2): 132-134. [Google Scholar]
  2. Huang Qixin, Lu Zhuwei, Yang Zhengli. Research on prediction of electric vehicles charging loading [J]. Mechanical and Electrical Information, 2016,27(489): 140-141. [Google Scholar]
  3. Chen Lidan, Nie Yongquan, Zhongqing. Prediction model of electric vehicle charging load based on trip chain [J]. Transactions of China Electrotechnical Society, 2015, 30(4): 216-225. [Google Scholar]
  4. Zhang Yuyu, Zhang Yuxin. ARMA time series-based electric vehicle charging station operation state prediction and charging power demand model [J]. Electrotechnical Application, 2016,35(21): 52-58. [Google Scholar]
  5. Arias, M.B., Bae, S. Electric vehicle charging demand forecasting model based on big data technologies[J]. Applied Energy, 2016, 183(12): 327-339. [CrossRef] [Google Scholar]
  6. Majidpour, M., Qiu, C., Chu, P., Pota, HR, Gadh, R. Forecasting the EV charging load based on customer profile or station measurement?[J]. Applied Energy, 2016, 163(2): 134-141. [CrossRef] [Google Scholar]
  7. Peng Zhixing, Bao Changjun, Zhao Yang, Yi Honggang, Tang Shaowen, Yu Hao, ChenN Feng. ARIMA product seasonal model and its application in the prediction of infectious diseases[J]. Application of Statistics and Management, 2008,27(2): 362-368. [Google Scholar]
  8. Bin, E. Econometrics of Panel Data Methods and Applications [M]. Oxford University Press, 2017. [Google Scholar]
  9. Box, E.P., Jenkins, G.M., Reinsel, G.C., Ljung, G.M. Time series analysis: forecasting and control[M]. John Wiley & Sons, Inc., 2016. [Google Scholar]
  10. Deb, C., Zhang, F., Yang, J., Lee, SE, Shah, KW A review on time series forecasting techniques for building energy consumption[J]. Renewable and Sustainable Energy Reviews, 2017, 74(7): 902-924. [CrossRef] [Google Scholar]
  11. Chen Yan, Shi Zhihui. Mixed financial time series prediction model based on Adaboost and regularized ELM and Its Application [J]. Application of Statistics and Management, 2017, 36(1): 113-125. [Google Scholar]
  12. Lu Lin, Xu Wei, Xiangyue, Zhang Yi, Xiong Jun. Research on optimal configuration of multi-regional charging piles based on Markov chain charging load prediction[J]. Engineering Science and Technology, 2017,49(3): 170-178. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.