摘要
家用空调的普及带来了能耗的快速增长,人工智能技术为家用空调节能减排的推进提供了强有力的工具。家用空调存在众多可能的节能减排路径,而人工智能技术更是种类繁多,目前业界尚未结合这两个方面进行系统化的梳理,本文尝试以家用空调节能减排的实现途径为脉络,在各途径下,总结整理各种可用的人工智能技术,并对每种技术进行简要介绍。由于大多数的人工智能技术均离不开数据的支持,因此本文在最后还介绍了通过联合仿真来高效获取训练数据的方法。
The increase in the use of residential air conditioners in Chinese households has resulted in a rapid increase in energy consumption.The rapid development of artificial intelligence technology provides a powerful tool for advancement in this field.However,there are various potential energy conservation and emission reduction paths for residential air conditioners,in addition to a wide variety of artificial intelligence technologies,which have not yet been systematically defined by the industry in combination with these two aspects.This paper summarizes and classifies various available artificial intelligence technologies with respect to achieving energy conservation and emission reduction for residential air conditioners and provides brief descriptions of these technologies.Because most artificial intelligence technologies are inseparable from data support,this study also introduces a method of efficiently obtaining training data through joint simulation.
作者
邵俊强
郑雨霖
车铭江
师雅博
张晓波
尹志鑫
高能
柳张清
吴中越
徐象国
Shao Junqiang;Zheng Yulin;Che Mingjiang;Shi Yabo;Zhang Xiaobo;Yin Zhixin;Gao Neng;Liu Zhangqing;Wu Zhongyue;Xu Xiangguo(Institute of Refrigeration and Cryogenics,Key Laboratory of Refrigeration and Cryogenic Technology of Zhejiang Province,Zhejiang University,Hangzhou,310027,China;Center for Balance Architecture,Zhejiang University,Hangzhou,310027,China;NingboTech University,Ningbo,315199,China)
出处
《制冷学报》
CAS
CSCD
北大核心
2023年第3期14-28,40,共16页
Journal of Refrigeration
基金
国家自然科学基金(51976181)资助项目。
关键词
家用空调
节能减排
人工智能
数据
household air conditioner
energy conservation and emission reduction
artificial intelligence
data