EFFICIENT FAULT LOCALIZATION IN SMART GRID THROUGH ANALYSIS OF THE WAVE MATRIX IMAGE USING CONVOLUTIONAL NEURAL NETWORKS

Efficient Fault Localization in Smart Grid Through Analysis of the Wave Matrix Image Using Convolutional Neural Networks

This article presents a methodology for fault localization in electric power distribution systems through the analysis of wave matrix image using Convolutional Neural Networks (CNN).Ensuring a continuous and high-quality supply of electric power is crucial for the efficient operation of a Power System.However, the extensive coverage of the Electric

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SDNN24 Estimation from Semi-Continuous HR Measures

The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health.Wrist-worn fitness wearable devices record heart beats 24/7 having a complete overview of users’ heart Accessoires PolyMaker status.Due to motion artefacts affecting QRS complexes recording, and the different na

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