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A Methodological Comparison of Forecasting Models Using KZ Decomposition and Walk-Forward Validation

The accurate forecasting of surface air temperature (T2M) is crucial for climate analysis, agricultural planning, and energy management. This study proposes a novel forecasting framework grounded in structured temporal decomposition. Using the Kolmogorov–Zurbenko (KZ) filter, all predictor variables...

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Bibliográfalaš dieđut
Váldodahkkit: Khawla Al-Saeedi, Diwei Zhou, Andrew Fish, Katerina Tsakiri, Antonios Marsellos
Materiálatiipa: Artigo
Giella:Inglês
Almmustuhtton: MDPI AG 2025-10-01
Ráidu:Mathematics
Fáttát:
Liŋkkat:https://www.mdpi.com/2227-7390/13/21/3410
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