A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
Time-Variant Digital Twin Modeling through the Kalman-Generalized Sparse Identification of Nonlinear Dynamics
Interactive visualization for diagnosis of industrial Model Predictive Controllers with steady-state optimizers
Determining the amount of ‘green’ coke generated when co-processing lipids commercially by fluid catalytic cracking