Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks.
Liang ZhangGang WangGeorgios B. GiannakisPublished in: IEEE Trans. Signal Process. (2019)
Keyphrases
- power system
- state estimation
- real time
- neural network
- load forecasting
- short term load forecasting
- electrical power systems
- kalman filtering
- particle filter
- kalman filter
- dynamic systems
- computational intelligence
- optimal power flow
- fault diagnosis
- power flow
- economic dispatch
- visual tracking
- reactive power
- short term
- wind power
- power generation
- transmission line
- particle filtering
- back propagation
- support vector regression
- active power
- fuzzy logic
- voltage stability
- fuzzy neural network
- state space
- operating point
- prediction model
- genetic algorithm