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

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Detalhes bibliográficos
Publicado no:	PLoS One vol. 20, no. 9 (Sep 2025), p. e0331208
Autor principal:	Li, Zhongfeng
Outros Autores:	Liu, Lei, Zhao, Zhenlong, Mu, Shujie, Li, Dong, Zhuo, Yuting
Publicado em:	Public Library of Science
Assuntos:	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
Acesso em linha:	Citation/Abstract Full Text Full Text - PDF
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