Research on energy-saving optimization method for central air conditioning system based on multi-strategy improved sparrow search algorithm-Reference-Cited by-同舟云学术

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Research on energy-saving optimization method for central air conditioning system based on multi-strategy improved sparrow search algorithm

Published:2024-04 Issue: Volume:160 Page:263-274
ISSN:0140-7007
Container-title:International Journal of Refrigeration
language:en
Short-container-title:International Journal of Refrigeration

Author:

Cen Jian,Zeng Linzhe,Liu Xi^ORCID,Wang Fuyu,Deng Shijun,Yu Zongwei,Zhang Guomin,Wang Weiyue

Publisher

Elsevier BV

Reference46 articles.

1. Advances in meta-heuristic optimization algorithms in big data text clustering;Abualigah;Electronics,2021

2. Gradient-based optimizer: a new metaheuristic optimization algorithm;Ahmadianfar;Inf. Sci.,2020

3. Chaotic grasshopper optimization algorithm for global optimization;Arora;Neural Comput. Appl.,2019

4. Potential of nanorefrigerant and nanolubricant on energy saving in refrigeration system–a review;Azmi;Renew. Sustain. Energy Rev.,2017

5. A PSO-based algorithm for optimal multiple chiller systems operation;Beghi;Appl. Therm. Eng.,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Central Air Conditioning Demand Response Capability Evaluation Method;2024 4th International Conference on Electronic Materials and Information Engineering (EMIE);2024-06-12

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