利用贝叶斯方法、有监督的机器学习和集合方法对各种生物质来源的生物炭产量进行精确预测

IF 3.1 4区 工程技术 Q3 ENERGY & FUELS International Journal of Green Energy Pub Date : 2023-12-29 DOI:10.1080/15435075.2023.2297776
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, Huu Son Le, Viet Dung Tran, Dao Nam Cao
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引用次数: 0

摘要

生物质热解是利用农业废弃物生成生物炭的一种可持续工艺,但这种工艺通常需要耗费大量能源和时间。为了解决这个问题,研究人员收集了...
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Precise prognostics of biochar yield from various biomass sources by Bayesian approach with supervised machine learning and ensemble methods
Biomass pyrolysis is a sustainable process for generating biochar from agricultural waste, though it is generally energy-intensive and time-consuming. To address this issue, the researchers gathere...
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来源期刊
International Journal of Green Energy
International Journal of Green Energy 工程技术-能源与燃料
CiteScore
6.60
自引率
9.10%
发文量
112
审稿时长
3.7 months
期刊介绍: International Journal of Green Energy shares multidisciplinary research results in the fields of energy research, energy conversion, energy management, and energy conservation, with a particular interest in advanced, environmentally friendly energy technologies. We publish research that focuses on the forms and utilizations of energy that have no, minimal, or reduced impact on environment, economy and society.
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