Author

Xinyue Mo

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Open access Oct 2026

An Innovative Decoupled Spatio-Vertical–Temporal Learning Model Based on Topography Guidance for Wind Vector Forecasting

Highlights What are the main findings? TG-SVTFormer improves multi-step wind speed forecasting by decoupling spatiotemporal features and preserving fine spatial details. Integrating topography and upper-air states adds physical constraints, reducing long-horizon prediction errors. What are the implications of the main...

Xin-Yu Liu, Huan Li, Xin-Yue Mo · Italian National Conference... · 0 citations

Open access Jul 2026

Adaptive Multi-Branch Heterogeneous Fusion Network for Wind Vector Prediction

Experiments on ERA5 data show that AMBHFN outperforms eight retrained baselines over the 0–23 h forecast horizon, with an average error reduction of more than 12%.

Zhuo Chen, Xinyue Mo, Huan Li · Energies · 0 citations