A Comprehensive Review of Categorization and Perspectives on State-of-Charge Estimation Using Deep Learning Methods for Electric Transportation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10830-5.pdf
Reference78 articles.
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3. Unterluggauer, T., Rich, J., Andersen, P. B., & Hashemi, S. (2022). Electric vehicle charging infrastructure planning for integrated transportation and power distribution networks: A review. eTransportation, 12, 100163. https://doi.org/10.1016/J.ETRAN.2022.100163
4. Kumar, R., Bansal, K., Kumar, A., Yadav, J., Gupta, M. K., & Singh, V. K. (2021). Renewable energy adoption: Design, development, and assessment of solar tree for the mountainous region. International Journal of Energy Research, 42(2), 1–17. https://doi.org/10.1002/er.7197
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