High-Speed State Estimation in Power Systems with Extreme Unobservability Using Machine Learning.
Antos Cheeramban VargheseHritik ShahBehrouz AzimianAnamitra PalEvangelos FarantatosMahendra PatelPaul MyrdaPublished in: CoRR (2022)
Keyphrases
- state estimation
- power system
- high speed
- machine learning
- computational intelligence
- kalman filter
- particle filter
- power grid
- distribution systems
- kalman filtering
- smart grid
- visual tracking
- dynamic systems
- particle filtering
- electric power systems
- data analysis
- power generation
- short term load forecasting
- artificial intelligence
- economic dispatch
- real time
- computer vision
- feature selection
- load forecasting
- control system
- learning algorithm
- transmission line
- multi agent
- feature extraction