A Review of Charging Schemes and Machine Learning Techniques for Intelligent Management of Electric Vehicles in Smart Grid-Reference-Cited by-同舟云学术

A Review of Charging Schemes and Machine Learning Techniques for Intelligent Management of Electric Vehicles in Smart Grid

Published:2022 Issue: Volume: Page:51-71
ISSN:
Container-title:Managing Smart Cities
language:
Short-container-title:

Author:

Qaisar Saeed Mian,Alyamani Nehal

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93585-6_4

Reference56 articles.

1. Ahmad, A., Alam, M. S., & Chabaan, R. (2018). A comprehensive review of wireless charging technologies for electric vehicles. IEEE Transactions on Transportation Electrification. https://doi.org/10.1109/TTE.2017.2771619

2. Axelsson, K., & Granath, M. (2018). Stakeholders' stake and relation to smartness in smart city development: Insights from a Swedish city planning project. Government Information Quarterly, 35(4), 693–702. https://doi.org/10.1016/j.giq.2018.09.001

3. Bosshard, R., et al. (2015). Modeling and –Pareto optimization of inductive power transfer coils for electric vehicles. IEEE Journal of Emerging and Selected Topics in Power Electronics, 3, 50–64. https://doi.org/10.1109/JESTPE.2014.2311302

4. Bosshard, R., & Kolar, J. (2016). Multi-objective optimization of 50 kW/85 kHz IPT system for public transport. IEEE Journal of Emerging and Selected Topics in Power Electronics, 4, 1–1. https://doi.org/10.1109/JESTPE.2016.2598755

5. Chevrolet Pressroom—United States—Spark EV. (no date). media.gm.com. Retrieved November 2, 2020, from https://media.gm.com/media/us/en/chevrolet/vehicles/spark-ev/2016.tab1.html

Cited by 3 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. Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants;Proceedings of the 2024 ACM Southeast Conference on ZZZ;2024-04-18

2. Planet Optimization with Machine Learning Enabled Power Usage Forecasting Modeling in Smart Grid Environment;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15

3. Electric Vehicle Charging System in the Smart Grid Using Different Machine Learning Methods;Sustainability;2023-02-01