Article Versions Notes

Zeng J, Li X, Dai H, Zhang L, Wang W, Zhang Z, Kong S, Xu L. A Residual Physics-Informed Neural Network Approach for Identifying Dynamic Parameters in Swing Equation-Based Power Systems. Energies. 2025; 18(11):2888. https://doi.org/10.3390/en18112888

Zeng, Jiani, Xianglong Li, Hanqi Dai, Lu Zhang, Weixian Wang, Zihan Zhang, Shengxin Kong, and Liwen Xu. 2025. "A Residual Physics-Informed Neural Network Approach for Identifying Dynamic Parameters in Swing Equation-Based Power Systems" Energies 18, no. 11: 2888. https://doi.org/10.3390/en18112888

Zeng, J., Li, X., Dai, H., Zhang, L., Wang, W., Zhang, Z., Kong, S., & Xu, L. (2025). A Residual Physics-Informed Neural Network Approach for Identifying Dynamic Parameters in Swing Equation-Based Power Systems. Energies, 18(11), 2888. https://doi.org/10.3390/en18112888