Machine learning regression algorithms to predict emissions from steam boilers

Currently, the modeling of complex chemical-physical processes is drastically influencing industrial development. Therefore, the analysis and study of the combustion process of the boilers using machine learning (ML) techniques are vital to increase the efficiency with which this equipment operates...

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Bibliographic Details
Published in:	Heliyon Vol. 10; no. 5; p. e26892
Main Authors:	Ross-Veitía, Bárbara D., Palma-Ramírez, Dayana, Arias-Gilart, Ramón, Conde-García, Rebeca E., Espinel-Hernández, Alejandro, Nuñez-Alvarez, José R., Hernández-Herrera, Hernan, Llosas-Albuerne, Yolanda E.
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 15.03.2024 Elsevier
Subjects:	algorithms ambient temperature Artificial intelligence carbon dioxide Combustion fuels industrialization Linear regression pollution load prediction Python regression analysis steam Combustion Linear regression Artificial intelligence Python
ISSN:	2405-8440, 2405-8440
Online Access:	Get full text
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