Deep Learning-Based Construction of Koopman Observable Functions for Power System Nonlinear Dynamics
Abstract: The non-linearity of the power system dynamic model results in unavoidable systemic errors when employing model-based local linear approximation methods for system dynamic analysis. The ...
Abstract: Power electronic systems (PESs) are gradually utilized in dynamic environments such as renewable energy generation, electric propulsion, and vehicle charging, among others. However, dynamic ...
Conclusions: The meta-analysis provides moderate-quality evidence that IBTH programs have a beneficial effect on improving function, relieving pain, and improving self-efficacy compared to ...
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