A multi-plant ML framework uses process history to triple NOx prediction accuracy, forecasts overshoots nine minutes ahead, and projects 34-64% NOx cuts with 58,000 USD/year NH3 savings while preserving clinker quality.
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A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing
A multi-plant ML framework uses process history to triple NOx prediction accuracy, forecasts overshoots nine minutes ahead, and projects 34-64% NOx cuts with 58,000 USD/year NH3 savings while preserving clinker quality.