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A New Convolutional Network Structure for Power Quality Disturbance Identification and Classification in Micro-Grids
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Outgoing claims: the papers this work cites, builds on, or argues with.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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AI‐Driven Optimization Techniques for Power Quality Improvement in Microgrids: Trends, Techniques, and Future Directions
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Exponential Smoothing of Quadrature Amplitude Modulation for Power Quality Disturbance Detecting and Classification
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Machine Learning-Based Power Quality Disturbance Classification Under Varying Fundamental Frequency Conditions for Islanding of a Microgrid
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AI Applications for Power Quality Issues in Distribution Systems: A Systematic Review
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Disruptive Event Classification with the Help of Power Quality Features Extracted from μPMU Measurement
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Identification of Power Quality Disturbances in Electrical Systems - A Signal Processing Approach
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Identification of harmonic sources in smart grid using systematic feature extraction from non-active powers
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Artificial Intelligence and its applications in Renewable Integrated Power Systems
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