Power system state estimation using gauss-newton unrolled neural networks with trainable priors

Engineering

• Closed Form Solution 25%
• Cost Function 25%
• Deep Neural Network 75%
• Feedforward 25%
• Gauss 100%
• Least Square 75%
• Meter Reading 25%
• Network Topology 25%
• Neural Network Architecture 25%
• Newton's Method 25%
• Power Engineering 100%
• Regularization 25%
• State Estimation 100%
• System State 100%

Computer Science

• Deep Neural Network 100%
• Estimation Performance 33%
• Feedforward Network 33%
• Graph Neural Network 33%
• Hidden Information 33%
• Least Squares Method 100%
• Network Topology 33%
• Neural Network 100%
• Neural Network Architecture 33%
• Newton Iteration 33%
• Newton's Method 33%
• Regularization Term 33%
• State Estimation 33%
• System State Estimation 100%

Earth and Planetary Sciences

• State Estimation 100%
• State of the Art 25%