State Estimation in Partially Observable Power Systems via Graph Signal Processing Tools.
Lital DabushAriel KroizerTirza RouttenbergPublished in: Sensors (2023)
Keyphrases
- state estimation
- power system
- partially observable
- signal processing
- dynamical systems
- dynamic systems
- kalman filter
- decision problems
- reinforcement learning
- state space
- power generation
- markov decision processes
- particle filter
- kalman filtering
- computational intelligence
- visual tracking
- belief state
- random walk
- particle filtering
- electric power systems
- smart grid
- dynamic programming
- learning algorithm
- video sequences
- state variables
- mean shift
- complex systems
- sparse representation
- graph cuts