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Conference Sep 2026

Cyber-physical security protection model for automation-oriented smart grids considering cyber-attack risks

Smart grids integrate sensing, communication, computing, and control, making them representative networked automation systems. This integration improves observability but also exposes grid operation to false data injection, denial-of-service, replay, and command-tampering attacks. To support conference-oriented intelli...

Zi-Xin Yu, Feng Long, Yan-Hong Xu et al. · 0 citations
#edge computing Conference Sep 2026

Edge computing resource optimization allocation method for virtual power plants

The results indicate that edge-side resource allocation can improve computational reliability and operational scalability for automated VPP dispatch as well as improve computational reliability and operational scalability for automated VPP dispatch.

Min-Zhang Jiang, Feng Long, Shi-Tong Wang et al. · 0 citations
#federated learning Conference Sep 2026

A privacy-preserving federated learning framework for load forecasting in electrified intelligent transportation systems

The electrification transition of intelligent transportation systems (ITSs) is coupling mobility operations with distribution- grid scheduling and producing highly heterogeneous charging loads whose forecasting must not expose sensitive vehicle, passenger, or operator data. This paper presents a privacy-preserving fede...

Zi-Xin Yu, Yan-Hong Xu, Feng Long et al. · 0 citations
#reinforcement learning Conference Sep 2026

Reinforcement-learning-based adaptive energy management strategy for microgrid energy storage systems

High renewable penetration makes microgrid energy management sensitive to uncertain photovoltaic output, wind fluctuation, load variation, electricity price, and battery degradation. Conventional rule-based and model predictive strategies require manually tuned thresholds or accurate forecasts, which limits their adapt...

Feng Long, Shang-Zhi Sun, Min-Zhang Jiang et al. · 0 citations

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