Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition employing MWCNT-Fe3O4/water hybrid nanofluids

标题
Using Bayesian optimization and ensemble boosted regression trees for optimizing thermal performance of solar flat plate collector under thermosyphon condition employing MWCNT-Fe3O4/water hybrid nanofluids
作者
关键词
-
出版物
Sustainable Energy Technologies and Assessments
Volume 53, Issue -, Pages 102708
出版商
Elsevier BV
发表日期
2022-09-03
DOI
10.1016/j.seta.2022.102708

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