A new online optimization method for boiler combustion system based on the data-driven technique and the case-based reasoning principle

To adapt to the time-variability of boiler combustion systems, a new online combustion optimization method for boiler is proposed in this paper. The massive historical combustion data are preprocessed, and then an improved constrained fuzzy weighted rule is employed to extract combustion rules from...

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Vydané v:	Energy (Oxford) Ročník 263; s. 125508
Hlavní autori:	Xu, Wentao, Huang, Yaji, Song, Siheng, Chen, Yuzhu, Cao, Gehan, Yu, Mengzhu, Chen, Bo, Zhang, Rongchu, Liu, Yuqing, Zou, Yiran
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.01.2023
Predmet:	combustion energy Improved constrained fuzzy weighted rule Improved multi-objective particle swarm optimization algorithm mathematical models Online combustion optimization of boiler Similarity measure -based case-based reasoning support vector machines system optimization Improved multi-objective particle swarm optimization algorithm Online combustion optimization of boiler Improved constrained fuzzy weighted rule Similarity measure -based case-based reasoning
ISSN:	0360-5442
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