Supervised learning for more accurate state estimation fusion in IoT-based power systems.
Danial Sadrian ZadehBehzad MoshiriMoein AbediniJosep M. GuerreroPublished in: Inf. Fusion (2023)
Keyphrases
- state estimation
- power system
- supervised learning
- kalman filter
- distribution systems
- kalman filtering
- short term load forecasting
- particle filter
- multi sensor
- dynamic systems
- power grid
- power generation
- computational intelligence
- economic dispatch
- visual tracking
- smart grid
- reinforcement learning
- image fusion
- particle filtering
- electric power systems
- neural network
- transmission line
- wind power
- power distribution systems
- load forecasting
- object tracking
- computationally efficient
- image sequences
- computer vision
- artificial intelligence
- learning algorithm