Energy Demand Forecasting for Electric Vehicles Using Blockchain-Based Federated Learning
Author:
Affiliation:
1. Mathematics and Computer Science Department, Fisk University, Nashville, TN, USA
2. Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, Muscat, Oman
Funder
Department of Energy Minority Serving Institution Partnership Program (EM-MSIPP) Managed by Savannah River National Laboratory under Battelle Savannah River Alliance
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10472974.pdf?arnumber=10472974
Reference22 articles.
1. Deep Learning LSTM Recurrent Neural Network Model for Prediction of Electric Vehicle Charging Demand
2. Communication-efficient learning of deep networks from decentralized data;McMahan;arXiv:1602.05629,2016
3. Deep learning
4. Federated Learning Based Demand Reshaping for Electric Vehicle Charging
5. A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation
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