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

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PLoS One vol. 20, no. 9 (Sep 2025), p. e0331208
1. Verfasser:	Li, Zhongfeng
Weitere Verfasser:	Liu, Lei, Zhao, Zhenlong, Mu, Shujie, Li, Dong, Zhuo, Yuting
Veröffentlicht:	Public Library of Science
Schlagworte:	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-Zugang:	Citation/Abstract Full Text Full Text - PDF
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!

Schreiben Sie den ersten Kommentar!