Zulkifley  Mohamed, Fadya  Shakhim, 
    Development of Energy Generation Model using Robust Partial Least
Squares-Structural Equation Modeling (RPLS-SEM)
Through Winsorization Method,
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 20,
    2019,
    Pages 7663-7668,
    ISSN 1816-949x,
    jeasci.2019.7663.7668,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.7663.7668)
    Abstract: Based on the PLS-SEM structure, validation is required for each part of the model for the structural
model, measurement model and overall model. This study’s objective is to outline the measurement and
structural criteria required to develop the model. It also, presents a Robust Partial Least Squares-Path Modeling
(RPLS-PM) via. Winsorization which includes the internal and external models. The relationship between an
indicator variable and latent variables is depicted by the external model whilst the relationship between
exogenous latent variables and endogenous latent variables is recounted by the internal model. The RPLS-PM’s
outputs and inputs were derived by considering electricity generation data relating to Al-Zawya Steam Power
Plant, Libya.
    Keywords: Ordinary LastSquare (OLS);Structural Equation Modeling (SEM);Partial Least Square-Path Modeling (PLS-PM);winsorization;steam power plant;exogenous