Deep Learning method to predict Electric Vehicle power requirements and optimizing power distribution-Reference-Cited by-同舟云学术

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Deep Learning method to predict Electric Vehicle power requirements and optimizing power distribution

Published:2019-02 Issue: Volume: Page:
ISSN:
Container-title:2019 Fifth International Conference on Electrical Energy Systems (ICEES)
language:
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Author:

Jinil Nectar,Reka Sofana

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8716292/8719234/08719243.pdf?arnumber=8719243

Cited by 11 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. Artificial Intelligence Enabled Future Wireless Electric Vehicles with Multi-Model Learning and Decision Making Models;Tsinghua Science and Technology;2024-12

2. Deep-Learning-Based Prediction Algorithm for Fuel-Cell Electric Vehicle Energy With Shift Mixup;IEEE Sensors Journal;2024-05-01

3. Smart Decentralized Electric Vehicle Aggregators for Optimal Dispatch Technologies;Energies;2023-12-17

4. A Brief Review of Current Smart Electric Mobility Facilities and Their Future Scope;Lecture Notes in Electrical Engineering;2023

5. Multinodes interval electric vehicle day-ahead charging load forecasting based on joint adversarial generation;International Journal of Electrical Power & Energy Systems;2022-12

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