Mitigating Long-Term Forecasting Bias in Time-Series Neural Networks via Ensemble of Short-Term Dependencies

Mitigating Long-Term Forecasting Bias in Time-Series Neural Networks via Ensemble of Short-Term Dependencies

Time-series forecasting is essential for predicting future trends based on historical data, with significant applications in meteorology, transportation, and finance. However, existing models often exhibit unsatisfactory performance in long-term forecasting scenarios. To address this limitation, we...

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Bibliographic Details
Main Authors: Jiahui Wang, Wenqian Zhou, Fangshu Chen, Liming Wang, Ruijun Pan, Chengcheng Yu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
time-series forecasting
time-series neural networks
long-term bias
short-term dependency
ensemble learning
Online Access:https://www.mdpi.com/2076-3417/15/11/6371
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