Modeling and Forecasting Time-Series Data with Multiple Seasonal Periods Using Periodograms
Applications of high-frequency data, including energy management, economics, and finance, frequently require time-series forecasting characterized by complex seasonality. Recognizing prevailing seasonal trends continues to be difficult, given that the majority of solutions depend on basic decomposit...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2025-03-01
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| Collection: | Econometrics |
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| Accès en ligne: | https://www.mdpi.com/2225-1146/13/2/14 |
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