Knowledge graph‐based multimodal neural networks for smart‐grid defect detection
Kaiyang Li,
Yaoying Wang,
Tianyou Zhu
et al.
Abstract:The application of artificial intelligence in smart grid operations, particularly for defect detection, has seen remarkable progress. However, effectively leveraging multi‐modal data sources to enhance defect detection performance remains challenging. This paper presents a novel Knowledge Graph‐based Multimodal Neural Network (KGMNN) approach for robust and efficient defect detection in smart grids. Our proposed method first leverages multiple heterogeneous data sources, such as structural data, temporal senso… Show more
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