APA (7th ed.) Citation

Li, X., Zhang, L., Wang, Z., & Dong, P. (2019). Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks. Journal of energy storage, 21, 510-518. https://doi.org/10.1016/j.est.2018.12.011

Chicago Style (17th ed.) Citation

Li, Xiaoyu, Lei Zhang, Zhenpo Wang, and Peng Dong. "Remaining Useful Life Prediction for Lithium-ion Batteries Based on a Hybrid Model Combining the Long Short-term Memory and Elman Neural Networks." Journal of Energy Storage 21 (2019): 510-518. https://doi.org/10.1016/j.est.2018.12.011.

MLA (9th ed.) Citation

Li, Xiaoyu, et al. "Remaining Useful Life Prediction for Lithium-ion Batteries Based on a Hybrid Model Combining the Long Short-term Memory and Elman Neural Networks." Journal of Energy Storage, vol. 21, 2019, pp. 510-518, https://doi.org/10.1016/j.est.2018.12.011.