z-logo
open-access-imgOpen Access
Prediction of Charging Requirements for Electric Vehicles Based on Multiagent Intelligence
Author(s) -
Shuai Ling,
Xiang Zhu,
Qing Wang,
Paul Schonfeld
Publication year - 2022
Publication title -
journal of advanced transportation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 46
eISSN - 2042-3195
pISSN - 0197-6729
DOI - 10.1155/2022/2309376
Subject(s) - transferability , electric vehicle , computer science , driving range , charging station , key (lock) , range (aeronautics) , bounded rationality , transport engineering , environmental economics , simulation , automotive engineering , operations research , engineering , computer security , power (physics) , artificial intelligence , economics , machine learning , physics , logit , quantum mechanics , aerospace engineering

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom