Código QR (código de barras bidimensional)

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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Principais autores: Khawla Al-Saeedi, Diwei Zhou, Andrew Fish, Katerina Tsakiri, Antonios Marsellos
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-10-01
Serier:Mathematics
Fag:
time series forecasting
Kolmogorov–Zurbenko filter
multi-scale decomposition
Ridge regression
Lasso regression
Random Forest
Online adgang:https://www.mdpi.com/2227-7390/13/21/3410
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