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

Guardado en:

書目詳細資料
發表在:	PLoS One vol. 20, no. 9 (Sep 2025), p. e0331208
主要作者:	Li, Zhongfeng
其他作者:	Liu, Lei, Zhao, Zhenlong, Mu, Shujie, Li, Dong, Zhuo, Yuting
出版:	Public Library of Science
主題:	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
在線閱讀:	Citation/Abstract Full Text Full Text - PDF
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

成為第一個發表評論!