An AutoML Algorithm: Multiple-Steps Ahead Forecasting of Correlated Multivariate Time Series with Anomalies Using Gated Recurrent Unit Networks
Multiple time series forecasting is critical in domains such as energy management, economic analysis, web traffic prediction and air pollution monitoring to support effective resource planning. Traditional statistical learning methods, including Vector Autoregression (VAR) and Vector Autoregressive...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-10-01
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| coleção: | AI |
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| Acesso em linha: | https://www.mdpi.com/2673-2688/6/10/267 |
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