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

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Опубликовано в::	PLoS One vol. 20, no. 9 (Sep 2025), p. e0331208
Главный автор:	Li, Zhongfeng
Другие авторы:	Liu, Lei, Zhao, Zhenlong, Mu, Shujie, Li, Dong, Zhuo, Yuting
Опубликовано:	Public Library of Science
Предметы:	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
Online-ссылка:	Citation/Abstract Full Text Full Text - PDF
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