Robust Long-Term Spatial–Temporal Forecasting for Dynamic Networks: The MDETST Model

Accurate network traffic forecasting is essential for the proactive management of modern communication systems, particularly for emerging satellite constellations. However, forecasting network traffic is a non-trivial task, as the data exhibit complex statistical properties such as self-similarity,...

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Hlavní autoři:	Wenjing Feng, Lanhao Li, Huichao Zhou, Bingshu Xie, Dawei Zhao, Yi Zhang, Feifei Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-02-01
Edice:	Mathematics
Témata:	big data internet traffic prediction time series forecasting deep learning
On-line přístup:	https://www.mdpi.com/2227-7390/14/4/661
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