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Energy-saving method and performance analysis of chiller plants group control based on Kernel Ridge Regression and Genetic Algorithm

Author(s): (Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China)
(Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China)
(Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China)
(Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China)
ORCID (Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China)
(Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China)
Medium: journal article
Language(s): English
Published in: Science and Technology for the Built Environment, , n. 5, v. 29
Page(s): 1-16
DOI: 10.1080/23744731.2023.2179304
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/23744731.2023.2179304.
  • About this
    data sheet
  • Reference-ID
    10714356
  • Published on:
    21/03/2023
  • Last updated on:
    13/06/2023
 
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