Identifying the key system parameters of the organic Rankine cycle using the principal component analysis based on an experimental database
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Title
Identifying the key system parameters of the organic Rankine cycle using the principal component analysis based on an experimental database
Authors
Keywords
Organic Rankine cycle, Experimental analysis, Principal component analysis, Machine learning, Key parameter subset
Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 240, Issue -, Pages 114252
Publisher
Elsevier BV
Online
2021-05-12
DOI
10.1016/j.enconman.2021.114252
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