An Online Dynamic Security Assessment in Power Systems Using RBF-R Neural Networks

Keyphrases

• Neural Network 100%
• Power System 100%
• Online Dynamic Security Assessment 100%
• Radial Basis Function Neural Network (RBFNN) 100%
• Prediction Accuracy 50%
• Feature Selection 50%
• Feature Selection Methods 50%
• Classification Performance 50%
• Multilayer Perceptron 50%
• Dynamic Security 50%
• Large-scale Power System 50%
• Training Set 50%
• Critical Contingency 50%
• Minimum Redundancy Maximum Relevance (mRMR) 50%
• Number of Measurements 50%
• Security Boundary 50%
• System Transient Stability 50%

Computer Science

• Security Assessment 100%
• Radial Basis Function 100%
• Neural Network 100%
• Feature Selection 33%
• Prediction Accuracy 16%
• Minimum Redundancy 16%
• radial base function neural network 16%
• Classification Performance 16%
• Feature Extraction 16%