Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks.
Kunjin ChenJun HuYu ZhangZhanqing YuJinliang HePublished in: IEEE J. Sel. Areas Commun. (2020)
Keyphrases
- power distribution systems
- deep learning
- average degree
- dynamic networks
- social networks
- fully connected
- fault diagnosis
- complex networks
- graph theory
- structured data
- random walk
- community discovery
- graph structures
- small world
- network architecture
- edge weights
- graph representation
- betweenness centrality
- computational intelligence
- access points
- overlapping communities
- graph model
- network analysis
- highly connected
- graph layout
- network structure
- deep belief networks
- power law
- control system
- neural network
- protein interaction networks
- unsupervised learning
- graph theoretic
- graph partitioning
- location information
- weighted graph
- graph structure
- community structure
- power system