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Variational Mode Decomposition and Decision Tree Based Detection and Classification of Power Quality Disturbances in Grid-Connected Distributed Generation System
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review
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Detection and classification of power quality disturbances using discrete wavelet transform and wavelet networks
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The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
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Three-phase harmonic detection methods for grid-connected converters
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Power quality disturbances detection and location using mathematical morphology and complex wavelet transformation
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The Wind Farm Aggregation Impact on Power Quality
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Automatic Classification of Power Quality Events Using Balanced Neural Tree
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Detection and Classification of Power Quality Disturbances Using Sparse Signal Decomposition on Hybrid Dictionaries
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Empirical-Mode Decomposition With Hilbert Transform for Power-Quality Assessment
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Islanding and Power Quality Disturbance Detection in Grid-Connected Hybrid Power System Using Wavelet and $S$-Transform
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Variational Mode Decomposition
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Classification of Power Quality Disturbances Due to Environmental Characteristics in Distributed Generation System
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Optimal Feature and Decision Tree-Based Classification of Power Quality Disturbances in Distributed Generation Systems
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RTDS-a fully digital power system simulator operating in real time
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Power Quality Disturbance Feature Selection and Pattern Recognition Based on Image Enhancement Techniques
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Power Quality Disturbance Classification Based on Compressed Sensing and Deep Convolution Neural Networks
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Classification of Power Quality Disturbances Using Wigner-Ville Distribution and Deep Convolutional Neural Networks
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An Algorithm Based on Sparse Decomposition for Estimating Harmonic and Interharmonic Components of Stationary Signals in Power Systems
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Comprehensive Review on Detection and Classification of Power Quality Disturbances in Utility Grid With Renewable Energy Penetration
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Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications
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Residual Current Detection Method Based on Variational Modal Decomposition and Dynamic Fuzzy Neural Network
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Classification of Power Quality Disturbance Using Segmented and Modified S-Transform and DCNN-MSVM Hybrid Model
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A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems
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Voltage Sag Assessment, Detection, and Classification in Distribution Systems Embedded With Fast Charging Stations
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Adaptive Reclosing Technique Using Variational Mode Decomposition Algorithm in BESS-Based Microgrid
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Distribution Network Power Quality Insights With Optimally Placed Micro-PMUs Incorporating Synthetic and Real Field Data
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Real Time Intelligent Detection of PQ Disturbances With Variational Mode Energy Features and Hybrid Optimized Light GBM Classifier
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Research on Noise Reduction Method for Leakage Signal of Water Supply Pipeline
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Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification
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A Novel Approach to Automatically Detect Power Quality Disturbances Based on Dynamic Pocket Network
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A Novel Deep Convolution Neural Network and Spectrogram Based Microgrid Power Quality Disturbances Classification Method
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Detection of voltage variation events using variational mode decomposition
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An Adaptive Harmonic and Inter-Harmonic Measurement Method Based on VMD-HT
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Composite Power Quality Disturbance Classification Based on GAF and EfficientNet-DO
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Methodologies of Feature Extraction for Voltage Sags in Power System
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Fast Deep-Learning-Based Recognition of Multiple Power Quality Events Under Noise and DC Offset
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Comparison of Voltage Stability Assessment using Different Machine Learning Algorithms
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EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams – With Application to Power Quality Disturbance Detection and Classification
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Statistical Models of EAF Harmonics Developed for Harmonic Estimation Directly from Waveform Samples Using Deep Learning Framework
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A Methodology for Spikes and Transients Detection and Removal in Power Signals Using Chebyshev Approximation
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Spectral Smoothing by Variationalmode Decomposition and its Effect on Noise and Pitch Robustness of ASR System
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IsDenseNet: A Framework for Complex Power Quality Disturbances Detection
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A Novel Method for Multiple Power Quality Disturbance Classification using Dynamic Mode Decomposition
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Hybrid energy storage power allocation based on moving average filtering and VMD
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Higher Order Dynamic Mode Decomposition for Robust Parameter Estimation in Power Grids
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Applications of Machine Learning in Modern Power Systems: A Comprehensive Review
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Discrete Wavelet Transform for Improving the Accuracy of an Unbalance Current Protection Relay Due to Transient Fault and Inrush Current Signals
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Wavelet Transform and Artificial Intelligence for Unbalanced Current Protection of 230kV Capacitor Switching Transient Inrush Current
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An Enhanced VMD-DT-Based Fault Protection Scheme for AC Microgrid
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Time-frequency Self-supervised Contrastive Learning Pre-training Model for Power Quality Disturbance Identification
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Prospects of NFMD for Power System Frequency and Amplitude Estimation
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Redefined Power Quality Indices for Stationary and Nonstationary Power Quality Disturbances
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The influence of wavelet vanishing moment order on intelligent detection of voltage swell
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A Variational Mode Decomposition Based Novel Preprocessing Method for Reservoir Characterization Using Support Vector Regression
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Deep Learning Technique for Recurrence Plot-based Classification of Power Quality Disturbances
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PMU-data-driven Event Classification in Power Transmission Grids
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Electric Power Quality Disturbances Classification based on Temporal-Spectral Images and Deep Convolutional Neural Networks
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A Fast and Robust Fault Detection and Classification Scheme for AC Microgrids Using Variational Mode Decomposition and Decision Tree
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Weak Coupling Point Detection in Distributed Polarization Coupling Measurement Based on Variational Mode Decomposition
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A Novel Preprocessing Method Based on Variational Mode Decomposition for Reservoir Characterization Using Support Vector Regression
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GNSS-IR Model of Sea Level Height Estimation Combining Variational Mode Decomposition
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VMD-Enabled Current-Based Fast Fault Detection Scheme for DC Microgrid
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DCVD-VMD Enabled Traveling Wave-Based Fault Location in Nonhomogenous AC Microgrids
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Efficient Power Quality Disturbance Classification
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Power System Frequency and Amplitude Estimation Using Variational Mode Decomposition and Chebfun Approximation System
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Integrated Hilbert-Fast Fourier Transform approach for detection and classification of power quality disturbances
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Automatic Classification of Power Quality Disturbances Via Weighted Convolutional Neural Network
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Forecasting and Classification Of Power Quality Disturbance In Smart Grid Using Hybrid Networks
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Fault Detection Method for DC Microgrid
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PQD Classification Method based on Iterative Filtering Kaiser Window S-Transform and NRBO-XGBOOST
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Multi scale recurrence quantification analysis for clustering harmonics on microgrid systems
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Assessment of Transient Disturbance using Discrete Fourier Transform and Feed Forward Neural Network based Hybrid Classifier
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Redefined Power Quality Indices for Stationary and Nonstationary Power Quality Disturbances
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Automated Identification of Re-Closing Events in an Operational Smart Power Grid
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Deep power: Deep learning architectures for power quality disturbances classification
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Classification of Power Quality Disturbances using Adaptive Variational Mode Decomposition based Random Vector Functional Link Network
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Statistical Models of EAF Harmonics Developed for Harmonic Estimation Directly From Waveform Samples Using Deep Learning Framework
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Classification of Complex Power Quality Disturbances Using Optimized S-Transform and Kernel SVM
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Complex Disturbances Identification: A Novel PQDs Decomposition and Modeling Method
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Complex PQD Classification Using Time– Frequency Analysis and Multiscale Parallel Attention Residual Network
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An Advanced Diagnose Framework for Complex Power Quality Disturbances Using Adaptive KS-Transform and JetLeaf Synth Network
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A Real-Time Improved ML Method for PQD Classification of a PV-Powered EV Charging Station
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Feature Trend Extraction and Adaptive Density Peaks Search for Intelligent Fault Diagnosis of Machines
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Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition
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An Automatic Identification Framework for Complex Power Quality Disturbances Based on Multifusion Convolutional Neural Network
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PowerCog: A Practical Method for Recognizing Power Quality Disturbances Accurately in a Noisy Environment
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A Novel Label-Guided Attention Method for Multilabel Classification of Multiple Power Quality Disturbances
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An Intelligent Classification Framework for Complex PQDs Using Optimized KS-Transform and Multiple Fusion CNN
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Aiming to Complex Power Quality Disturbances: A Novel Decomposition and Detection Framework
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A Novel Recognition Method for Complex Power Quality Disturbances Based on Rotation Vector and Fuzzy Transfer Field
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A Novel Three-Step Classification Approach Based on Time-Dependent Spectral Features for Complex Power Quality Disturbances
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Deep Convolutional Stack Autoencoder of Process Adaptive VMD Data With Robust Multikernel RVFLN for Power Quality Events Recognition
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Detection of Short-Term Voltage Disturbances and Harmonics Using μPMU-Based Variational Mode Extraction Method
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A Novel Recognition Method for Complex Power Quality Disturbances Based on Visualization Trajectory Circle and Machine Vision
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