Real-time optimal operation and control acts as the intelligent core of renewable energy systems, yet intermittent generation and time-varying loads introduce uncertainties that hinder secure and efficient operation. To address this issue, this paper proposes a digital-twin-driven cyber–physical framework for real-time...
Jun Yuan, Zhi-Zhao Fang, Rong-Jun Chen et al.· Chinese Journal of Informati...· 0 citations
MDCL-UNet is proposed, a supervised multi-domain collaborative learning framework based on domain feature disentanglement that achieves consistently higher Dice scores and lower HD95 distances than single-dataset baselines and existing cross-dataset collaborative learning methods.
A novel broad graph convolutional network (BGCN) paradigm is proposed, which completely eliminates hidden layers and instead expands the receptive field through network width, effectively circumventing the inherent limitations of over-smoothing and overfitting in existing deep and high-order GCN models.
Alex Hay-Man Ng, Xun Liu, Fang-Yuan Lei et al.· Complex & Intelligent Sy...· 0 citations
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