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Efficient Framework to Manipulate Data Compression and Classification of Power Quality Disturbances for Distributed Power System
Mariana Syamsudin,
Cheng I. Chen
, Sunneng Sandino Berutu, Yeong Chin Chen
電機工程學系
研究成果
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雜誌貢獻
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Keyphrases
Data Classification
100%
Power Quality Disturbances
100%
Data Compression
100%
Efficient Framework
100%
Distributed Power System
100%
Classification Algorithms
40%
Convolutional Neural Network
40%
Overfitting
40%
Deep Neural Network Classifier
40%
Signal Processing
20%
Wavelet Transform
20%
Energy Consumption
20%
Compression Algorithms
20%
Classification Methods
20%
Classification Procedure
20%
Noisy Environment
20%
Synthetic Data
20%
Production versus Consumption
20%
Compressed Data
20%
Training Time
20%
Neural Network Classifier
20%
Production Energy
20%
Compression Method
20%
Power Quality Issues
20%
Autoencoder Neural Network
20%
Production-distribution
20%
Power Quality Disturbance Classification
20%
Power Quality Disturbance Signal
20%
Disturbance Type
20%
Production Transformation
20%
Neural Network Compression
20%
Computer Science
Convolutional Neural Network
100%
Data Compression
100%
Classification Algorithm
50%
Wavelet Transforms
25%
Energy Consumption
25%
Compression Algorithm
25%
Classification Method
25%
Noisy Environment
25%
Autoencoder
25%
Compressed Data
25%
Quality Problem
25%
Synthetic Datasets
25%
Earth and Planetary Sciences
Energy Consumption
100%
Energy Utilization
100%
Signal Processing
100%
Wavelet Analysis
100%
Engineering
Power Engineering
100%
Power Quality
100%
Convolutional Neural Network
50%
Classification Algorithm
25%
Energy Engineering
12%
One Dimensional
12%
Compression Algorithm
12%
Classification Method
12%
Noisy Environment
12%
Autoencoder
12%
Disruptions
12%
Compression Method
12%
Compressed Data
12%
Chemical Engineering
Neural Network
100%