Integrated human-machine intelligence for EV charging prediction in 5G smart grid

Integrated human-machine intelligence for EV charging prediction in 5G smart grid

Abstract With the rapid development of the power infrastructures and the increase in the number of electric vehicles (EVs), vehicle-to-grid (V2G) technologies have attracted great interest in both academia and industry as an energy management technology in 5G smart grid. Considering the inherently h...

Full description

Bibliographic Details
Main Authors: Dedong Sun, Qinghai Ou, Xianjiong Yao, Songji Gao, Zhiqiang Wang, Wenjie Ma, Wenjing Li
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Smart grid
Charging behavior
Deep learning
Charging behavior prediction
Online Access:http://link.springer.com/article/10.1186/s13638-020-01752-y

Internet

http://link.springer.com/article/10.1186/s13638-020-01752-y

Similar Items