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...
Saved in:
Published in | Data science and management Vol. 5; no. 3; pp. 137 - 148 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.09.2022
KeAi Communications Co. Ltd |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!