A random forest predicts NOx emissions from machine states on two biochar pyrolysis plants with R2 scores of 0.97 and 0.84, and the fitted model is used as a surrogate for constrained optimization of operating parameters.
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Predicting NOx emissions in Biochar Production Plants using Machine Learning
A random forest predicts NOx emissions from machine states on two biochar pyrolysis plants with R2 scores of 0.97 and 0.84, and the fitted model is used as a surrogate for constrained optimization of operating parameters.