Power System State Estimation Using Gauss-Newton Unrolled Neural Networks with Trainable Priors.
Qiuling YangAlireza SadeghiGang WangGeorgios B. GiannakisJian SunPublished in: SmartGridComm (2020)
Keyphrases
- power system
- state estimation
- gauss newton
- neural network
- levenberg marquardt
- kalman filter
- back propagation
- particle filter
- artificial neural networks
- kalman filtering
- visual tracking
- computational intelligence
- dynamic systems
- particle filtering
- least squares
- genetic algorithm
- simultaneous localization and mapping
- training algorithm
- gaussian process
- bayesian framework
- multi sensor
- multilayer perceptron
- neural network model
- fuzzy neural network
- fault diagnosis
- model selection
- search algorithm
- learning algorithm