With the development of Internet and big data, more consumer behavior data are used in different forecasting problems, which greatly improve performance prediction. As main travel tool, sales automobiles will change with variations market external environment. Accurate prediction automobile can not only help dealers adjust their marketing plans dynamically but also economy transportation sector...

Biodiesel manufacturing from renewable feedstocks has received a lot of attention as viable alternative to fossil fuels. The Box-Behnken design, analysis variance (ANOVA), and the Grey Wolf Optimizer (GWO) algorithm were used in this work optimise biodiesel production Nahar oil. goal was determine best operating parameters for maximising yield. design is used, with four essential taken into acc...

An effective bearing fault diagnosis model based on machine learning is proposed in this study. The can separate into three stages: feature extraction, selection, and classification. In the stage of multiresolution analysis (MRA) fast Fourier transform (FFT) are applied to extract features from raw signal measured rotating machine. second stage, a powerful selection method utilized selection. n...

This paper proposes an easily understandable Grey Wolf Optimizer (GWO) applied to the optimal tuning of the parameters of Takagi-Sugeno proportional-integral fuzzy controllers (T-S PI-FCs). GWO is employed for solving optimization problems focused on the minimization of discrete-time objective functions defined as the weighted sum of the absolute value of the control error and of the squared ou...

Economic load dispatch (ELD) is one of the most important optimization problems in the modern power system. The introduction of non-convex, non-differentiable and non-continuous models like valve point loading (VPL) and prohibited operating zone (POZ) makes the conventional ELD problem to a highly non-linear constrained problem which makes the conventional method to stick to local optima. In th...

This paper presents an application of grey wolf optimizer (GWO) in order to find the parameters of primary governor loop for successful Automatic Generation Control of two areas’ interconnected power system. Two standard objective functions, Integral Square Error and Integral Time Absolute Error (ITAE), have been employed to carry out this parameter estimation process. Eigenvalues along with dy...