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A Latent Diffusion-Enhanced Spatio-Temporal Transformer for Short-Term Smart Grid Traffic Prediction

Accurate short-term prediction of network service traffic is essential for communication resource allocation and proactive fault warning in smart grids. However, smart grid service traffic is characterized by nonlinear fluctuations, strong spatio-temporal coupling, and considerable uncertainty, maki...

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Principais autores: Haitong Gu, Bin Guo, Jun Dong, Xingxing Feng, Xiaoqiang Wu, Chaoheng Liang, Jingbo Lin, Weidong Wang, Quansheng Guan
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2026-06-01
Colecção:Energies
Assuntos:
short-term service traffic prediction
spatio-temporal Transformer
diffusion model
uncertainty modeling
attention mechanism
Acesso em linha:https://www.mdpi.com/1996-1073/19/12/2843
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