A machine learning approach for line outage identification in power systems

Keyphrases

• Power System 100%
• Machine Learning Approach 100%
• Line Outage Detection 100%
• Phasor Measurement Unit 75%
• Flow State 50%
• Topology Change 50%
• Measure Data 25%
• Big Data Analytics 25%
• Prediction Accuracy 25%
• Tightly Coupled 25%
• Machine Learning Framework 25%
• Dynamic Characteristics 25%
• Timing Analysis 25%
• Outage 25%
• Continuous Monitoring 25%
• Power Lines 25%
• Large Amount of Data 25%
• Change Detection 25%
• Power Flow Analysis 25%
• State Estimation 25%
• Power Flow Equation 25%
• Single Line 25%
• Line Outage 25%
• Time Domain Data 25%
• Phasor Angle 25%
• Power System Monitoring 25%
• Power Line Outages 25%
• Line Topology 25%
• Voltage Phasor 25%
• Multiple Line Outages 25%
• State Estimation Equation 25%
• Frequency Domain Features 25%

Engineering

• Power Engineering 100%
• Learning Approach 100%
• Outages 100%
• Phasor Measurement Unit 50%
• Frequency Domain 33%
• Power Line 33%
• Power Flow 33%
• State Estimation 33%
• Measurement Data 16%
• Big Data 16%
• Time Domain 16%
• Tasks 16%
• Continuous Monitoring 16%
• Flow Analysis 16%
• Electric Power System Measurement 16%
• Time Analysis 16%
• Flow Equation 16%
• Single Line 16%
• Flow State 16%
• Phasor Voltage 16%
• Domain Feature 16%