7 citations · 9 across the 6 of their papers we have counts for
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eess.SP2024★ 7 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.SP2024★ 1 cited
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…
eess.SP2024★ 1 cited
Unsupervised and Interpretable Synthesizing for Electrical Time Series Based on Information Maximizing Generative Adversarial Nets
Zhenghao Zhou, Yiyan Li, Runlong Liu +2
Generating synthetic data has become a popular alternative solution to deal with the difficulties in accessing and sharing field measurement data in power systems. However, to make…