A Hybrid-Learning Algorithm for Online Dynamic State Estimation in Multimachine Power Systems.
Guanyu TianQun ZhouRahul BirariJunjian QiZhihua QuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- power system
- state estimation
- learning algorithm
- distribution systems
- computational intelligence
- kalman filtering
- kalman filter
- electric power systems
- dynamic systems
- economic dispatch
- visual tracking
- power generation
- smart grid
- particle filter
- power grid
- particle filtering
- machine learning
- transmission line
- environmentally friendly
- multi sensor
- software agents
- objective function
- reinforcement learning
- computer vision
- artificial intelligence
- genetic algorithm