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Author

Jiaqiang Wang

2 papers indexed here

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Conference Oct 2026

Anomaly detection in power dispatch data networks based on graph convolutional networks (GCN)

A graph convolutional network (GCN)-based approach is developed for anomaly detection in power dispatch data networks, addressing the challenges of high-dimensional, non-Euclidean, and dynamic grid environments. The method begins with the construction of a graph that encodes both physical connectivity and operational i...

Ming Li, Feng Zhang, Xiang-Yang Deng et al. · 0 citations
Open access Aug 2026

T-HMM-Based Transformer Fault Diagnosis in Grid-Connected Renewable Energy Systems

Experimental results demonstrate that the proposed T-HMM accurately tracks state evolution trends and effectively identifies fault categories, achieving significantly superior state recognition accuracy and multi-step prediction hit rates compared to conventional HMM, with substantially reduced mean absolute error.

Wei Li, Shanyun Gu, Lei Shen et al. · 0 citations

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