Power system monitoring for electrical disturbances in wide network using machine learning

Engineering

• Learning System 100%
• Power Engineering 100%
• Extreme Learning Machine 100%
• Oscillatory 100%
• Support Vector Machine 50%
• Power Quality 50%
• Feature Extraction 50%
• Principal Component 50%
• Component Analysis 50%
• Electrical Measurement 50%
• Dimensionality 50%
• Monitoring System 50%
• Essential Feature 50%

Computer Science

• Machine Learning 100%
• Learning System 100%
• Monitoring System 100%
• Support Vector Machine 66%
• Extreme Learning Machine 66%
• Feature Extraction 33%
• Feature Selection 33%
• Principal Component 33%
• Component Analysis 33%
• Essential Feature 33%
• Comparison Result 33%

Chemical Engineering

• Learning System 100%
• Support Vector Machine 25%