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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co. Ltd.
2022-09-01
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Series: | Data Science and Management |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666764922000273 |