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

Shranjeno v:

Bibliografske podrobnosti
izdano v:	PLoS One vol. 20, no. 9 (Sep 2025), p. e0331208
Glavni avtor:	Li, Zhongfeng
Drugi avtorji:	Liu, Lei, Zhao, Zhenlong, Mu, Shujie, Li, Dong, Zhuo, Yuting
Izdano:	Public Library of Science
Teme:	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 dostop:	Citation/Abstract Full Text Full Text - PDF
Oznake:	Označite Brez oznak, prvi označite!

Komentirajte kot prvi!