Sparse optimization assisted adaptive and smart hybrid data-driven modeling for process systems

Key Points

• Adaptive algorithms improve process systems efficiency significantly, demonstrating better results with sparse optimization.
• A critical metric for performance enhancement is how effectively these data-driven models can adjust to varying conditions.
• Analysis of hybrid data-driven modeling reveals a promising approach to streamline complex process systems through enhanced optimization.
• Highlights the potential for developing more effective process systems solutions using innovative adaptive methodologies.