Energy-saving method and performance analysis of chiller plants group control based on Kernel Ridge Regression and Genetic Algorithm
Autor(en): |
Yuchen He
(Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China)
Qiao Xu (Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China) Ding Li (Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China) Shunqi Mei (Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China) Zhiming Zhang (Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China) Qiaoling Ji (Wuhan Textile University - Yangguang Campus, Wuhan, 430200 China) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Science and Technology for the Built Environment, April 2023, n. 5, v. 29 |
Seite(n): | 1-16 |
DOI: | 10.1080/23744731.2023.2179304 |
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Datenseite - Reference-ID
10714356 - Veröffentlicht am:
21.03.2023 - Geändert am:
13.06.2023