3 papers
eess.SY2026
PowerSINDy: Identifying Nonlinear Time-Dependent Dynamics in Power Grid Frequency
Xinyi Wen, Xiao Li, Leonardo Rydin Gorjão +2
System identification plays a crucial role in physics and machine learning for discovering governing equations directly from data. A powerful approach is the Sparse Identification…
eess.SY2026
Predicting power grid frequency dynamics with invertible Koopman-based architectures
Eric Lupascu, Xiao Li, Benjamin Schäfer
The system frequency is a critical measure of power system stability and understanding, and modeling it are key to ensure reliable power system operations. Koopman-based autoencode…
eess.SY2025
Learning the Frequency Dynamics of the Power System Using Higher-order Dynamic Mode Decomposition
Xiao Li, Xinyi Wen, Benjamin Schäfer
The increasing penetration of renewable energy sources, characterised by low inertia and intermittent disturbances, presents substantial challenges to power system stability. As cr…