APA (7th ed.) Citation

Wang, J., Du, C., Yan, F., Hua, M., Gongye, X., Yuan, Q., . . . Zhou, Q. (2025). Bayesian optimization for hyper-parameter tuning of an improved twin delayed deep deterministic policy gradients based energy management strategy for plug-in hybrid electric vehicles. Applied energy, 381, 125171. https://doi.org/10.1016/j.apenergy.2024.125171

Chicago Style (17th ed.) Citation

Wang, Jinhai, Changqing Du, Fuwu Yan, Min Hua, Xiangyu Gongye, Quan Yuan, Hongming Xu, and Quan Zhou. "Bayesian Optimization for Hyper-parameter Tuning of an Improved Twin Delayed Deep Deterministic Policy Gradients Based Energy Management Strategy for Plug-in Hybrid Electric Vehicles." Applied Energy 381 (2025): 125171. https://doi.org/10.1016/j.apenergy.2024.125171.

MLA (9th ed.) Citation

Wang, Jinhai, et al. "Bayesian Optimization for Hyper-parameter Tuning of an Improved Twin Delayed Deep Deterministic Policy Gradients Based Energy Management Strategy for Plug-in Hybrid Electric Vehicles." Applied Energy, vol. 381, 2025, p. 125171, https://doi.org/10.1016/j.apenergy.2024.125171.