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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Shi-Liang Zhang

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2 papers indexed here

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Open access Oct 2026

Hierarchical Graph Neural Network for Probabilistic Power Flow With Grid Topology Contingencies

Data-driven surrogates reduce the nonlinear solves required for probabilistic power flow (PPF), but models tied to a fixed bus--branch graph often generalize poorly when outages change electrical coupling. This paper proposes a topology-decomposition-driven hierarchical bidirectional graph neural network (TDD--HBGNN) f...

Jin-Bao Wang, Jun Liu, Shi-Liang Zhang et al. · 0 citations
Open access Sep 2026

Demand-Side Flexibility for Community Benefits and Distribution Network Deferral: A Case Study of a New Zealand Island

The decarbonisation of the energy system is accelerating the uptake of distributed and renewable energy resources. Nevertheless, this stresses already-constrained distribution networks, and it can lead to expensive grid infrastructure upgrades. Demand-side flexibility offers a non-network solution that can reduce power...

Min Zhang, M. Apperley, Shi-Liang Zhang · 0 citations

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