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Ming-Jian Zeng

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Open access Aug 2026

Deep learning-based prediction of negative air ion concentrations using TCN-attention and meteo-temporal fusion transformer

A 1-day prediction model TCN-Attention and a 7-day sliding prediction model MTFT (Meteo-Temporal Fusion Transformer) were developed, highlighting the temporal stability of the meteorology–NAI relationship as an important factor in seasonal predictability.

Gu Zhang, Ming-Jian Zeng, Wenwen Ai et al. · 0 citations
Open access Sep 2026

An Integrated Multi‐Component Error Verification Method for Numerical Weather Prediction

This study introduces an integrated multi‐component error verification approach (IMEV) that decomposes forecast errors into three physically interpretable components: accumulation error (systematic intensity discrepancy), area error (areal coverage and spatial extent mismatch), and pattern error (distributional dissimi...

Xi-Yu Mu, Qi Xu, Guoqing Liu et al. · 0 citations
Open access Jul 2026

Physics-Guided Deep Learning for Short-Term Offshore Wind Power Forecasting

Given wind energy’s growing significance in the world’s energy structure, the demand for high-precision forecasting is more urgent than ever. However, wind power’s inherent non-stationarity is linked to complex and variable meteorological conditions, which pose significant challenges for accurate forecasting. The accur...

Boni Wang, Ming-Jian Zeng, H. Shan et al. · 0 citations

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