A Comparative Study of Univariate and Multivariate Time Series Forecasting for CPO Prices Using Machine Learning Techniques

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A Comparative Study of Univariate and Multivariate Time Series Forecasting for CPO Prices Using Machine Learning Techniques

The Malaysian palm oil sector has significantly contributed to developing the domestic economy and the global palm oil market. However, the fluctuation in Crude Palm Oil (CPO) prices poses a significant risk to farmers, producers, traders, consumers, and others involved in CPO production and marketi...

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Bibliographic Details
Published in:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Main Author:	Mohd Fuad J.N.F.D.; Ibrahim Z.; Adam N.L.; Mat Diah N.
Format:	Conference paper
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175952373&doi=10.1007%2f978-981-99-7339-2_5&partnerID=40&md5=385e03bb59ac0fb2004b6ee6195214af

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