Abstract: Driven by growing concerns over global energy consumption, improving energy efficiency in the manufacturing sector is increasingly vital, especially for energy-intensive batch processes.

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...

Significant predictors were selected on the training set using recursive feature elimination methods, followed by prediction model development using 7 machine learning algorithms (logistic regression, ...