Local-Global and Multi-Scale (LG-MS) Mixer Architecture for Long-Term Time Series Forecasting

Local-Global and Multi-Scale (LG-MS) Mixer Architecture for Long-Term Time Series Forecasting

Although deep learning models dominate time series forecasting, they still struggle with long-sequence processing due to the challenges of extracting dynamic fluctuations and pattern features as input length increases. To address this challenge, we propose a framework – LG-MSMixer&#x2...

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Bibliographic Details
Main Authors: Zhennan Peng, Boyong Gao, Ziqi Xia, Jie Liu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
long-term time series forecasting
information extraction
local-global
multi-scale decomposition
Online Access:https://ieeexplore.ieee.org/document/10818690/
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