Supervised Learning Approach for State Estimation in Distribution Systems with missing Input Data.
Andreas WinterMichael IgelPeter SchegnerPublished in: ISGT-Europe (2021)
Keyphrases
- state estimation
- distribution systems
- input data
- supervised learning
- training data
- power system
- kalman filter
- particle filter
- data sets
- distribution network
- kalman filtering
- visual tracking
- dynamic systems
- emergency response
- smart grid
- learning algorithm
- semi supervised
- training set
- reinforcement learning
- particle filtering
- machine learning
- data points
- appearance model
- mathematical model
- feature space
- genetic algorithm
- computational intelligence
- high dimensional