Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time-Reference-Cited by-同舟云学术

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Improving Smart Charging Prioritization by Predicting Electric Vehicle Departure Time

Published:2021-10 Issue:10 Volume:22 Page:6646-6653
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Frendo Oliver^ORCID,Gaertner Nadine^ORCID,Stuckenschmidt Heiner^ORCID

Funder

German Federal Ministry for Economic Affairs and Energy through the TRADE EVs Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9557741/09082829.pdf?arnumber=9082829

Cited by 64 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Joint Charging Scheduling and Computation Offloading in EV-Assisted Edge Computing: A Safe DRL Approach;IEEE Transactions on Mobile Computing;2024-09

2. Charging scheduling in a workplace parking lot: Bi-objective optimization approaches through predictive analytics of electric vehicle users' charging behavior;Sustainable Energy, Grids and Networks;2024-09

3. Predictability of electric vehicle charging: Explaining extensive user behavior-specific heterogeneity;Applied Energy;2024-09

4. Online Learning Models for Vehicle Usage Prediction During COVID-19;IEEE Transactions on Intelligent Transportation Systems;2024-08

5. An urban charging load forecasting model based on trip chain model for private passenger electric vehicles: A case study in Beijing;Energy;2024-07

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