Moving Windows Prediction of Refined, Bleached and Deodorized Palm Oil Quality Using Multiple Least Squares and Partial Least Squares Regressions

Moving Windows Prediction of Refined, Bleached and Deodorized Palm Oil Quality Using Multiple Least Squares and Partial Least Squares Regressions

With the goal of shaping a smart, economically-sustainable palm oil refining industry, this paper aims to improve the prediction modelling of Refined, Bleached and Deodorized Palm Oil (RBDPO) quality for early quality fault detection and remediation via the novel use of a moving windows form of pred...

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Bibliographic Details
Main Authors: Wai Hoong Khu, Nor Adhihah Rashid, Mohd. Aiman Mohd. Noor, Nur Atikah Mohd Rosely, Azmer Shamsuddin, Kamarul Asri Ibrahim, Mohd. Kamaruddin Abd. Hamid
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2020-02-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/10771

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