Author

Qiang Wang

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Sep 2026

Modeling the vertical structure of turbulence characteristics in the atmospheric boundary layer: A physics-informed neural operator and symbolic regression method

Accurately modeling turbulence intensity (TI) and gust factor (GU) is crucial for ensuring the structural integrity and operational efficiency of wind turbines. This study develops a physics-informed model for turbulence characteristics in the complex atmospheric boundary layer, leveraging 1 year of Doppler wind lidar...

Kai Wang, Qiang Wang, Kui-Bin Yang et al. · The Physics of Fluids · 0 citations

Open access Aug 2026

Pangu-Weather Driven Dual-Path Network with Dynamic Gated Attention for Ultra-Short-Term Wind Power Forecasting

Results demonstrate that AI-weather-driven forecasting and dual-path dynamic fusion can provide a promising low-latency meteorological-input strategy for ultra-short-term wind power forecasting.

Lejia Zhu, Yu-Jia Zhang, Qiang Wang et al. · Clean Energy · 0 citations