APA (7th ed.) Citation

Wang, Z., Zhou, K., Li, M., Wang, W., Tang, Y., & Dai, S. (2026). A Damage-Aware Dynamic Bayesian Network Framework with Cross-Scale Probability Calibration for Lithium-Ion Battery Energy Storage System Risk Assessment. 2026 5th International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC), New Energy Technology Innovation and Low Carbon Development (NET-LC), 2026 5th International Symposium on, 76. https://doi.org/10.1109/NET-LC70284.2026.11605805

Chicago Style (17th ed.) Citation

Wang, Ziyao, Kui Zhou, Miangang Li, Wei Wang, Yichen Tang, and Siyu Dai. "A Damage-Aware Dynamic Bayesian Network Framework with Cross-Scale Probability Calibration for Lithium-Ion Battery Energy Storage System Risk Assessment." 2026 5th International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC), New Energy Technology Innovation and Low Carbon Development (NET-LC), 2026 5th International Symposium on 2026: 76. https://doi.org/10.1109/NET-LC70284.2026.11605805.

MLA (9th ed.) Citation

Wang, Ziyao, et al. "A Damage-Aware Dynamic Bayesian Network Framework with Cross-Scale Probability Calibration for Lithium-Ion Battery Energy Storage System Risk Assessment." 2026 5th International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC), New Energy Technology Innovation and Low Carbon Development (NET-LC), 2026 5th International Symposium on, 2026, p. 76, https://doi.org/10.1109/NET-LC70284.2026.11605805.