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...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Khawla Al-Saeedi, Diwei Zhou, Andrew Fish, Katerina Tsakiri, Antonios Marsellos
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2025-10-01
Цуврал:	Mathematics
Нөхцлүүд:	time series forecasting Kolmogorov–Zurbenko filter multi-scale decomposition Ridge regression Lasso regression Random Forest
Онлайн хандалт:	https://www.mdpi.com/2227-7390/13/21/3410
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!