Machine Learning Algorithm to Predict CO<sub>2</sub> Using a Cement Manufacturing Historic Production Variables Dataset: A Case Study at Union Bridge Plant, Heidelberg Materials, Maryland
This study uses machine learning methods to model different stages of the calcination process in cement, with the goal of improving knowledge of the generation of CO<sub>2</sub> during cement manufacturing. Calcination is necessary to determine the clinker quality, energy needs, and CO&l...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Journal of Manufacturing and Materials Processing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-4494/7/6/199 |