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.· Frontiers in Environmental S...· 0 citations
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.· Journal of Geophysical Resea...· 0 citations
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.· Journal of Marine Science an...· 0 citations
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