Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction
Author:
Affiliation:
1. Kyung Hee University,Department of Computer Science and Engineering,Yongin-si,Republic of Korea,17104
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10048895/10048896/10048987.pdf?arnumber=10048987
Reference28 articles.
1. Electric vehicles’ energy consumption measurement and estimation
2. Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging
3. Sweet: Secure Wireless Energy Transfer with Electric Vehicles in Vehicular Energy Networks
4. Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach
5. Effective Approaches to Attention-based Neural Machine Translation
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