Combining Seasonal and Trend Decomposition Using LOESS With a Gated Recurrent Unit for Climate Time Series Forecasting

Temperature, as a key indicator of climate change, is a constant object of research focus due to its importance in accurate forecasting. Traditional meteorological models have limitations in handling complex temperature data, and deep recurrent network techniques, known for their excellent performan...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	IEEE Access
المؤلفون الرئيسيون:	Xiao Liu, Qianqian Zhang
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	IEEE 2024-01-01
الموضوعات:	Gated recurrent unit seasonal and trend decomposition using LOESS climate prediction deep learning
الوصول للمادة أونلاين:	https://ieeexplore.ieee.org/document/10559488/

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