APA (7th ed.) Citation

Hong, S., Kang, M., Kim, J., & Baek, J. (2023). Investigation of denoising autoencoder-based deep learning model in noise-riding experimental data for reliable state-of-charge estimation. Journal of energy storage, 72, 108421. https://doi.org/10.1016/j.est.2023.108421

Chicago Style (17th ed.) Citation

Hong, Seonri, Moses Kang, Jonghoon Kim, and Jongbok Baek. "Investigation of Denoising Autoencoder-based Deep Learning Model in Noise-riding Experimental Data for Reliable State-of-charge Estimation." Journal of Energy Storage 72 (2023): 108421. https://doi.org/10.1016/j.est.2023.108421.

MLA (9th ed.) Citation

Hong, Seonri, et al. "Investigation of Denoising Autoencoder-based Deep Learning Model in Noise-riding Experimental Data for Reliable State-of-charge Estimation." Journal of Energy Storage, vol. 72, 2023, p. 108421, https://doi.org/10.1016/j.est.2023.108421.