Dynamic Generative Residual Graph Convolutional Neural Networks for Electricity Theft Detection.
Wei ZhuangWen JiangMin XiaJun LiuPublished in: IEEE Access (2024)
Keyphrases
- convolutional neural networks
- detection algorithm
- object detection
- detection method
- dynamic networks
- detection rate
- graph theory
- graph model
- convolutional network
- dynamic graph
- demand forecasting
- electricity markets
- automatic detection
- dynamic environments
- generative model
- graph structure
- detection accuracy
- graph theoretic
- directed graph
- power grid
- identity theft
- connected components
- social networks