STL-DCSInformer-ETS: A Hybrid Model for Medium- and Long-Term Sales Forecasting of Fast-Moving Consumer Goods

Accurately forecasting sales for fast-moving consumer goods (FMCG) remains a significant challenge due to the volatile and multi-faceted nature of sales data. Existing methods often struggle to capture intricate patterns driven by seasonal trends, external factors, and consumer behavior, hindering e...

Full description

Saved in:

Bibliographic Details
Main Authors:	Yecheng Ma, Lili He, Junhong Zheng
Format:	Article
Language:	English
Published:	MDPI AG 2025-02-01
Series:	Applied Sciences
Subjects:	STL-DCSInformer-ETS medium- and long-term sales forecasting fast-moving consumer goods random forest recursive feature elimination multi-scale feature extraction dilated causal convolution
Online Access:	https://www.mdpi.com/2076-3417/15/3/1516
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

STL-DCSInformer-ETS: A Hybrid Model for Medium- and Long-Term Sales Forecasting of Fast-Moving Consumer Goods

Similar Items