Federated Learning Based Demand Reshaping for Electric Vehicle Charging-Reference-Cited by-同舟云学术

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Federated Learning Based Demand Reshaping for Electric Vehicle Charging

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
language:
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Author:

Dedeoglu Mehmet¹,Lin Sen¹,Zhang Zhaofeng¹,Zhang Junshan²

Affiliation:

1. Arizona State University,School of ECEE,Tempe,AZ,USA

2. University of California, Davis,College of Engineering,Davis,CA,USA

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10000838.pdf?arnumber=10000838

Reference17 articles.

1. Modeling charging behavior of battery electric vehicle drivers: A cumulative prospect theory based approach

2. Decision-making approach in charging mode for electric vehicle based on cumulative prospect theory

3. ACN-Data

4. Advances in prospect theory: Cumulative representation of uncertainty

Cited by 1 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. Energy Demand Forecasting for Electric Vehicles Using Blockchain-Based Federated Learning;IEEE Access;2024

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