Adaptive Holt-Winters Forecasting Method based on Artificial Intelligence Techniques-Reference-Cited by-同舟云学术

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Adaptive Holt-Winters Forecasting Method based on Artificial Intelligence Techniques

Published:2023-01-03 Issue: Volume: Page:
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Container-title:2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)
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Author:

Sangkhiew Noppakun¹,Watanasungsuit Arnat²,Inthawongse Choat³,Jomthong Peerapop⁴,Saicharoen Kawinthorn¹,Pornsing Choosak¹

Affiliation:

1. Silpakorn University,Faculty of Engineering and Industrial Technology,Department of Industrial Engineering and Management,Nakhon Pathom,Thailand,73000

2. Hydrocarbon Solutions (Thailand) Company Limited,Thawi Wattana District, Bangkok,Thailand,10170

3. Muban Chombueng Rajabhat University,Department of Industrial Technology,Ratchaburi,Thailand,70150

4. Christian University,Biomedical Engineering, Faculty of Health Sciences,Nakhon Pathom,Thailand,73000

Funder

Research, Innovation and Creativity, Silpakorn University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10035563/10035540/10035579.pdf?arnumber=10035579

Reference24 articles.

1. The Accuracy Rate of Holt-Winters Model with Particle Swarm Optimization in Forecasting Exchange Rates

2. The Holt-Winters Forecasting Procedure

3. Improved holt-winters method: a case of overnight stays of tourists in republic of Slovenia;ferbartratar;Quart Rev Econ Bus,2013

4. Equipping Seasonal Exponential Smoothing Models with Particle Swarm Optimization Algorithm for Electricity Consumption Forecasting

5. Holt–Winters smoothing enhanced by fruit fly optimization algorithm to forecast monthly electricity consumption

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