Long-term forecasting of hourly retail customer flow on intermittent time series with multiple seasonality
In this study, we address a demanding time series forecasting problem that deals simultaneously with the following: (1) intermittent time series, (2) multi-step ahead forecasting, (3) time series with multiple seasonal periods, and (4) performance measures for model selection across multiple time se...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
KeAi Communications Co. Ltd.
2022-09-01
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| Серии: | Data Science and Management |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2666764922000273 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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