FCP-Former: Enhancing Long-Term Multivariate Time Series Forecasting with Frequency Compensation

Long-term multivariate time series forecasting is crucial for real-world applications, including energy consumption, traffic flow, healthcare, and finance. Usually, some statistical approaches are used for predicting future observations based on historical temporal data. Recently, transformer-based...

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Principais autores:	Ming Li, Muyu Yang, Shaolong Chen, Huangyongxiang Li, Gaosong Xing, Shuting Li
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-09-01
Serija:	Sensors
Teme:	multivariate time series forecasting frequency compensation layer FCP-Former transformer patch
Online dostop:	https://www.mdpi.com/1424-8220/25/18/5646
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