Autoencoder-based optimization method for driving cycle construction: a case study in Fuzhou, China
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-022-04317-7.pdf
Reference29 articles.
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3. Brady J, O’Mahony M (2016) Development of a driving cycle to evaluate the energy economy of electric vehicles in urban areas. Appl Energy 177:165–178. https://doi.org/10.1016/j.apenergy.2016.05.094
4. Ceylan A, Aytac V (2020) Convolutional auto encoders for sentence representation generation. Turk J Electr Eng Comput Sci 28(2):1135–1148. https://doi.org/10.3906/elk-1907-13
5. Chen F, Zhou S, Hua Y et al (2021) A novel method of developing driving cycle for electric vehicles to evaluate the private driving habits. IEEE Access 9:46476–46486. https://doi.org/10.1109/ACCESS.2021.3049411
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