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

Guardado en:

Bibliografiske detaljer
Udgivet i:	PLoS One vol. 20, no. 9 (Sep 2025), p. e0331208
Hovedforfatter:	Li, Zhongfeng
Andre forfattere:	Liu, Lei, Zhao, Zhenlong, Mu, Shujie, Li, Dong, Zhuo, Yuting
Udgivet:	Public Library of Science
Fag:	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 adgang:	Citation/Abstract Full Text Full Text - PDF
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Vær først til at give en kommentarø!