Benchmarking Foundation Models for Time-Series Forecasting: Zero-Shot, Few-Shot, and Full-Shot Evaluations
Recently, time-series forecasting foundation models trained on large, diverse datasets have demonstrated robust zero-shot and few-shot capabilities. Given the ubiquity of time-series data in IoT, finance, and industrial applications, rigorous benchmarking is essential to assess their forecasting per...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2025-09-01
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| coleção: | Computer Sciences & Mathematics Forum |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2813-0324/11/1/32 |
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