A Comparison of Statistical and Machine Learning Approaches for Time Series Forecasting in a Demand Management Scenario-Reference-Cited by-同舟云学术

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A Comparison of Statistical and Machine Learning Approaches for Time Series Forecasting in a Demand Management Scenario

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
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Author:

Pfeifer Anton¹,Brand Hendrik¹,Lohweg Volker¹

Affiliation:

1. inIT – Institute Industrial IT Technische Hochschule Ostwestfalen-Lippe,Lemgo,Germany

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10217218/10217836/10218206.pdf?arnumber=10218206

Reference30 articles.

1. Forecasting retailer product sales in the presence of structural change

2. Demand forecasting in the presence of systematic events: Cases in capturing sales promotions

3. Intelligent sales volume forecasting using Google search engine data

4. A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparing Effectiveness of Statistical Versus Deep Learning for Time Series Forecasting;Lecture Notes in Networks and Systems;2024

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