Conditional Temporal Aggregation for Time Series Forecasting Using Feature-Based Meta-Learning
We present a machine learning approach for applying (multiple) temporal aggregation in time series forecasting settings. The method utilizes a classification model that can be used to either select the most appropriate temporal aggregation level for producing forecasts or to derive weights to proper...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2023-04-01
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| Serie: | Algorithms |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1999-4893/16/4/206 |
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