CO<sub>2</sub> Emission Prediction for Coal-Fired Power Plants by Random Forest-Recursive Feature Elimination-Deep Forest-Optuna Framework

CO<sub>2</sub> Emission Prediction for Coal-Fired Power Plants by Random Forest-Recursive Feature Elimination-Deep Forest-Optuna Framework

As the greenhouse effect intensifies, China faces pressure to manage CO<sub>2</sub> emissions. Coal-fired power plants are a major source of CO<sub>2</sub> in China. Traditional CO<sub>2</sub> emission accounting methods of power plants are deficient in computatio...

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Bibliographic Details
Main Authors:	Kezhi Tu, Yanfeng Wang, Xian Li, Xiangxi Wang, Zhenzhong Hu, Bo Luo, Liu Shi, Minghan Li, Guangqian Luo, Hong Yao
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Energies
Subjects:	CO<sub>2</sub> emission coal-fired power plant deep forest RFE Optuna
Online Access:	https://www.mdpi.com/1996-1073/17/24/6449
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