Application of Deep Neural Networks to Distribution System State Estimation and Forecasting

Engineering

• System State 100%
• Application 100%
• Distribution System 100%
• State Estimation 100%
• Deep Neural Network 100%
• Model 83%
• Perceptron 66%
• Power Engineering 50%
• Convolutional Neural Network 50%
• Dataset 33%
• Electric Power Distribution 33%
• Deep Learning Method 33%
• Illustrates 16%
• Feedforward 16%
• Test System 16%
• Power Transmission 16%
• Root Mean Square Error 16%
• Dynamic Nature 16%
• Static State 16%
• Approximators 16%
• Vehicle to Grid 16%
• Distributed Power Generation 16%
• Grid Technology 16%
• Performance 16%
• Correlation 16%
• Mapping 16%
• Execution Time 16%

Computer Science

• System State Estimation 100%
• Application 100%
• Model 100%
• Distribution System 100%
• Deep Neural Network 100%
• Multilayer Perceptron 83%
• State Estimation 50%
• Convolutional Neural Network 50%
• And-States 33%
• Conventional Neural Network 33%
• Power Distribution 33%
• Deep Learning Method 33%
• Neural Network 16%
• Execution Time 16%
• Transmission System 16%
• Vehicle to Grids 16%
• False Data Injection Attacks 16%
• Correlation 16%
• Dynamic Nature 16%
• Engineering Process 16%
• Standard 16%
• Distributed Power Generation 16%