APA (7th ed.) Citation

Liu, Z., Huang, Y., Zhang, S., Luo, X., Chen, X., Lin, J., . . . Li, J. (2025). A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting. Applied Energy, 377, N.PAG. https://doi.org/10.1016/j.apenergy.2024.124741

Chicago Style (17th ed.) Citation

Liu, Zhi-Feng, Ya-He Huang, Shu-Rui Zhang, Xing-Fu Luo, Xiao-Rui Chen, Jun-Jie Lin, Yu Tang, Liang Guo, and Ji-Xiang Li. "A Collaborative Interaction Gate-based Deep Learning Model with Optimal Bandwidth Adjustment Strategies for Lithium-ion Battery Capacity Point-interval Forecasting." Applied Energy 377 (2025): N.PAG. https://doi.org/10.1016/j.apenergy.2024.124741.

MLA (9th ed.) Citation

Liu, Zhi-Feng, et al. "A Collaborative Interaction Gate-based Deep Learning Model with Optimal Bandwidth Adjustment Strategies for Lithium-ion Battery Capacity Point-interval Forecasting." Applied Energy, vol. 377, 2025, p. N.PAG, https://doi.org/10.1016/j.apenergy.2024.124741.