This research aimed at developing Libyan energy generation models. Specifically, the research focused on the problems of outliers, non-normal and mullticollinearity. The presence of multivariate outliers was determined using Mahalanobis distance (MD) method. The non-normal of the data distribution was tested using a Mardia's test of multivariate skewness and kurtosis. While the multicollinearity of the data were determined using two methods, namely (i) correlation coefficient, and (ii) Variance Inflation Factor (VIF). The robust partial least squares-structural equation modelling (RPLS-SEM) was utilized to develop Libyan energy generation model.The research proposed the use of an alternative robust measure of central tendency, namely the Adaptive Winsorized Mean (AWM), which used winsorization for determining the data distribution as symmetrical or asymmetrical. The results from RPLS-SEM analysis revealed that each block in the developed model consisted of strong latent variables. The .....

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