A Spatial–Temporal Time Series Decomposition for Improving Independent Channel Forecasting

A Spatial–Temporal Time Series Decomposition for Improving Independent Channel Forecasting

Forecasting multivariate time series is a pivotal task in controlling multi-sensor systems. The joint forecasting of all channels may be too complex, whereas forecasting the channels independently may cause important spatial inter-dependencies to be overlooked. In this paper, we improve the performa...

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Bibliographic Details
Main Authors:	Yue Yu, Pavel Loskot, Wenbin Zhang, Qi Zhang, Yu Gao
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Mathematics
Subjects:	empirical model decomposition forecasting multi-channel multivariate time series
Online Access:	https://www.mdpi.com/2227-7390/13/14/2221
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