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Machine Learning, data-driven, and hardware-in-the-loop applications for stability analysis of transmission systems Submission DeadLine: 31 March 2025 Motivate by these challenges, the objective of this special issue is to callect ML and data-driven and HIL methods and applications that could help demonstrate that is possible to support in the technical development of power grids and innovate on how bulk power systems are operated today and in the upcomming years. Based on the above, the topics of interest of this special issue include, but are not limited to: Big data analytics for advanced measurement infrastructure of transmission systems - Data handling, storage, visualization and constrains of wide area monitoring systems (WAMS) - Online methods and applications for identification of oscillatory characteristics - Quantification and estimation of inertia based on synchrophasor measurements. - Methods for calibrating the parameters of the power system model using synchrophasor measu
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