A two-stage predictive modeling and data augmentation approach for optimizing co-pyrolysis products from oily sludge and solid wastes.
Co-pyrolysis of oily sludge (OS) and solid wastes supports resource recovery and safe residue disposal. However, complex interactions between feedstock composition and operating parameters hinder process prediction and design. In this study, a two-stage predictive modeling and data augmentation approach was developed u...