Reinforcement learning-enhanced multi-objective optimization for sustainable coal blending in thermal power plants

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Detalles Bibliográficos
Publicado en:	PLoS One vol. 20, no. 9 (Sep 2025), p. e0331208
Autor principal:	Li, Zhongfeng
Otros Autores:	Liu, Lei, Zhao, Zhenlong, Mu, Shujie, Li, Dong, Zhuo, Yuting
Publicado:	Public Library of Science
Materias:	China Pollutants Thermal power plants Algorithms Thermoelectricity Mutation Optimization Multiple objective analysis Machine learning Carbon dioxide Pareto optimum Energy consumption Industrial plant emissions Mathematical programming Coal Power plants Blending Thermodynamics Thermal power Performance measurement Genetic algorithms Limestone Carbon dioxide emissions Decision making Objective function Learning Linear programming Mutation rates Real time Coal-fired power plants Slagging Immunoglobulin D Combustion efficiency Ash Economic
Acceso en línea:	Citation/Abstract Full Text Full Text - PDF
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