MACHINE LEARNING BASED TRANSIENT STABILITY EMULATION AND DYNAMIC SYSTEM EQUIVALENCING OF LARGE-SCALE AC-DC GRIDS FOR FASTER-THAN-REAL-TIME DIGITAL TWIN

Machine Learning Based Transient Stability Emulation and Dynamic System Equivalencing of Large-Scale AC-DC Grids for Faster-Than-Real-Time Digital Twin

Modern power systems have been expanding significantly including the integration of high voltage direct current (HVDC) systems, bringing a tremendous computational challenge to transient stability simulation for dynamic hellfire sloe gin security assessment (DSA).In this work, a practical method for energy control center with the machine learning (

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PARAMETERS OF THE HEMODYNAMIC AFTER ABLATION ATRIAL FIBRILLATION AND/OR FLUTTER DEPENDING ON THE FUNCTIONAL CLASS OF CHRONIC HEART FAILURE

Evaluated parameters of the hemodynamic before and after ablation atrial fibrillation and/or flutter depending on the functional class of chronic heart failure in 74 patients.It was found that patients with the I functional class of chronic heart failure have significantly lower left atrium size compared to III functional class, which is associated

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