Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems?
Andrei AfoninMichael ChertkovPublished in: Frontiers Big Data (2021)
Keyphrases
- state estimation
- power system
- fault localization
- neural network
- short term load forecasting
- operating point
- kalman filter
- kalman filtering
- power generation
- artificial neural networks
- particle filter
- load forecasting
- fault detection
- dynamic programming
- particle filtering
- artificial intelligence
- back propagation
- computational intelligence
- dynamic systems
- model based diagnosis
- visual tracking
- electric power systems
- data abstraction
- fault diagnosis
- fuzzy logic
- genetic algorithm
- machine learning