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Open access Sep 2026

A hybrid day-ahead wind speed prediction model based on refined WRF and attention-LSTM for coastal complex terrain

Accurate day-ahead wind speed forecasting remains challenging over complex coastal terrain due to strong land–sea thermal contrasts, terrain-induced flow variability, and rapidly changing atmospheric conditions. This study investigates the characteristics of Weather Research and Forecasting (WRF) model wind speed for...

Xing-Lei Xiao, Qing-Zhi Lai, Xiao-Yue Zhang et al. · 0 citations
Open access Sep 2026

Wind Speed and Direction Estimation in Japan Based on Pressure-Gradient Interpolation and Geostrophic Wind Approximation

Accurately estimating wind speed and direction is essential for assessing wind energy potential, as precise estimates enable better identification of optimal generation periods and improved resource planning. While NWP models like ERA5 and JMA MSM provide valuable insights, they often entail substantial computational c...

J. D. Garcia-Racines, Masahide Nakamura, Takuya Nakata et al. · 0 citations
Open access Sep 2026

PERFORMANCE OF U-NET AND CONVLSTM FOR 850 HPA WIND FORECASTING IN JAKARTA

Very short-range forecasting of 850-hPa winds over tropical urban-coastal regions remains challenging due to complex land-sea circulation, topography, and rapidly changing atmospheric conditions. This study compares a CNN/U-Net baseline and an encoder-decoder Convolutional Long Short-Term Memory (ConvLSTM) model for gr...

Gatot Andriyanto, A. Susanto, A. A. Waskita · 0 citations
#machine learning Preprint Aug 2026

Frequency-aware forecasting for short-term typhoon gust prediction

WDANet, a frequency-aware forecasting framework that integrates stationary wavelet decomposition, a Feature-wise Linear Modulation strategy, and a dual-branch encoder-decoder architecture, enabling separate modeling of trend and fluctuation components is proposed, highlighting its potential for offshore wind power oper...

Xue-Fei Wang, Tingting Liu, Heng Zhang et al. · 0 citations
Sep 2026

Mechanism Modeling and Uncertainty Correction for Wind Power Forecasting Under Stagnant Weather Conditions: A Case Study in Xinjiang

To address the substantial increase in wind power forecasting errors under stable weather conditions, this paper examines a typical wind farm in Xinjiang and systematically analyzes the uncertainty mechanism through which the power curve nonlinearly amplifies wind speed forecasting errors. On this basis, a multimodule...

Guo-Qing Li, Bin Zhang, Da-Gui Liu et al. · 0 citations
Open access Sep 2026

Downscaling of Tropical Cyclone Surface Wind Fields With a Hybrid Attention Transformer

This study employs a Hybrid Attention Transformer‐based super‐resolution model to reconstruct tropical cyclone (TC) surface wind fields. The model downscales coarse‐resolution ERA5 reanalysis data to high‐resolution HWind analyses (1998–2013), increasing the horizontal resolution by a factor of five. First, this st...

Chun-Hua Wang, Da-Zhi Xi, Nai-Jie He et al. · 0 citations

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