Power Failure Cascade Prediction using Graph Neural Networks.
Sathwik ChadagaXinyu WuEytan H. ModianoPublished in: SmartGridComm (2023)
Keyphrases
- neural network
- failure prediction
- prediction accuracy
- artificial neural networks to predict
- neural network ensemble
- prediction model
- prediction algorithm
- random walk
- artificial neural networks
- graph theory
- pattern recognition
- directed graph
- power consumption
- neural network model
- chaotic time series
- protein function prediction
- graph databases
- graph mining
- prediction error
- fuzzy logic
- connected components
- graph structure
- genetic algorithm
- neural networks and support vector machines
- self organizing maps
- multi layer perceptron
- graph model
- graph representation
- graph theoretic
- radial basis function network
- graph matching
- load forecasting
- graph based algorithm
- spanning tree
- structured data
- bipartite graph
- directed acyclic graph