Efficient and Private Scheduling of Wireless Electric Vehicles Charging Using Reinforcement Learning
Author:
Affiliation:
1. School of IT, Deakin University, Geelong, VIC, Australia
2. Department of Civil Engineering, Monash University, Clayton, VIC, Australia
Funder
Deakin internal research funds and Australian Research Council (ARC) Discovery
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/6979/10086684/10025795.pdf?arnumber=10025795
Reference42 articles.
1. The Location Privacy Protection of Electric Vehicles with Differential Privacy in V2G Networks
2. Inferring Personal Information from Demand-Response Systems
3. Privacy-preserving communication and power injection over vehicle networks and 5G smart grid slice
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