Applied AI Techniques in the Process Industry identifies and categorizes the various hybrid models available that integrate data-driven models for energy-relevant systems and processes with different forms of process knowledge and domain expertise. State-of-the-art techniques such as reduced-order modeling, sparse identification, and physics-informed neural networks are comprehensively summariz…
This book has been carefully restructured to present the basic theory alongside coverage of more practical subjects. This edition incorporates a much wider range of organic analyses, especially those which have a relationship to environmental topics, such as heavy metals, dissolved oxygen and chemical oxygen demand.