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Chen-Xuan Zhang

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Open access Aug 2026

From Empowerment to Vulnerability: The Computation–Energy Paradox of AI-Enabled Power-Transport Systems

The transition towards smart megacities has deeply integrated Artificial Intelligence (AI) with power–transport networks. While AI empowers complex operations like multi-network coordinated dispatch and emergency rescue, current algorithm-centric perspectives largely ignore its massive physical energy costs. Accordingl...

Chenxuan Zhang, Peixiao Fan, Si-Qi Bu et al. · 0 citations
Open access Jul 2026

Quantum-Secure Artificial Intelligence: A Degradation-Free V2G Strategy for Frequency Stability in Multi-Microgrids

A quantum-empowered degradation-aware V2G coordination framework for smart-city MMGs considering communication security and user travel demands that completely immunizes the system against FDIAs, effectively suppresses frequency fluctuations, and significantly reduces battery degradation costs while preserving user mob...

Hong-Bo Qiu, Chen-Xuan Zhang, Pei-Xiao Fan et al. · 0 citations
Review Open access Aug 2026

Embodied Intelligence for Safer Power-System Field Operations: A Critical Review of Technologies, Applications, and Challenges

Modern power grids require safer and more reliable field operations, yet conventional robots often face limitations in unstructured environments because of rigid pre-programming and weak perception–action coupling. This review examines Embodied Intelligence (EI) as an emerging direction for enhancing power-system field...

Yuxin Wen, Peixiao Fan, Zhiyu Mao et al. · 0 citations

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