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eess.SP2026★ 6 cited
A Glass-Box Deep-Learning Method for Electrical Energy System Modeling Based on Kolmogorov-Arnold Network
Zhenghao Zhou, Yiyan Li, Zelin Guo +2
Deep learning methods have been widely used as an end-to-end modeling strategy of electrical energy systems because of their conveniency and powerful pattern recognition capability…
eess.SP2025
A Causal-Guided Multimodal Large Language Model for Generalized Power System Time-Series Data Analytics
Zhenghao Zhou, Yiyan Li, Xinjie Yu +6
Power system time series analytics is critical in understanding the system operation conditions and predicting the future trends. Despite the wide adoption of Artificial Intelligen…
eess.SP2024
A Neural-Network-Embedded Equivalent Circuit Model for Lithium-ion Battery State Estimation
Zelin Guo, Yiyan Li, Zheng Yan +1
Equivalent Circuit Model(ECM)has been widelyused in battery modeling and state estimation because of itssimplicity, stability and interpretability.However, ECM maygenerate large es…