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

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Opis bibliograficzny
Wydane w:	PLoS One vol. 20, no. 9 (Sep 2025), p. e0331208
1. autor:	Li, Zhongfeng
Kolejni autorzy:	Liu, Lei, Zhao, Zhenlong, Mu, Shujie, Li, Dong, Zhuo, Yuting
Wydane:	Public Library of Science
Hasła przedmiotowe:	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
Dostęp online:	Citation/Abstract Full Text Full Text - PDF
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