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eess.SY2026
BuilDyn: Excitation-Driven Data Generation for Building Thermal Dynamics Modeling and Control
Felix Koch, Thomas Krug, Fabian Raisch +2
Machine learning (ML) is increasingly used for data-driven modeling of buildings to enable downstream tasks such as fault detection and diagnosis, and energy-efficient control. Whi…
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.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…