Disturbance evaluation in power system based on machine learning

Computer Science

• Radial Basis Function 66%
• Noise Performance 33%
• Optimal Network 33%
• Distributed Generator 33%
• Power Optimization 33%
• Electric Power Quality 33%
• Selection Criterion 33%

Engineering

• Intensity Noise 33%
• Signal Power 33%
• Classification Algorithm 33%
• Selection Criterion 33%
• Electric Power Quality 33%
• Noise Performance 33%
• Optimal Network Structure 33%

Chemical Engineering

• Learning System 100%