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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
Sprog:Inglês
Udgivet: MDPI AG 2025-09-01
Serier:Sensors
Fag:
multivariate time series forecasting
frequency compensation layer
FCP-Former
transformer
patch
Online adgang:https://www.mdpi.com/1424-8220/25/18/5646
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