Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air Conditioners
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 conser...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | zho |
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Journal of Refrigeration Magazines Agency Co., Ltd.
2023-01-01
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| Series: | Zhileng xuebao |
| Subjects: | |
| Online Access: | http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2023.03.014 |
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| _version_ | 1849707818776526848 |
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| author | Shao Junqiang Zheng Yulin Che Mingjiang Shi Yabo Zhang Xiaobo Yin Zhixin Gao Neng Liu Zhangqing Wu Zhongyue Xu Xiangguo |
| author_facet | Shao Junqiang Zheng Yulin Che Mingjiang Shi Yabo Zhang Xiaobo Yin Zhixin Gao Neng Liu Zhangqing Wu Zhongyue Xu Xiangguo |
| author_sort | Shao Junqiang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ac3c0d634eac485290e5bee39a4ed46e |
| institution | DOAJ |
| issn | 0253-4339 |
| language | zho |
| publishDate | 2023-01-01 |
| publisher | Journal of Refrigeration Magazines Agency Co., Ltd. |
| record_format | Article |
| series | Zhileng xuebao |
| spelling | doaj-art-ac3c0d634eac485290e5bee39a4ed46e2025-08-20T03:15:50ZzhoJournal of Refrigeration Magazines Agency Co., Ltd.Zhileng xuebao0253-43392023-01-014466502761Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air ConditionersShao JunqiangZheng YulinChe MingjiangShi YaboZhang XiaoboYin ZhixinGao NengLiu ZhangqingWu ZhongyueXu XiangguoThe 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.http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2023.03.014household air conditionerenergy conservation and emission reductionartificial intelligencedata |
| spellingShingle | Shao Junqiang Zheng Yulin Che Mingjiang Shi Yabo Zhang Xiaobo Yin Zhixin Gao Neng Liu Zhangqing Wu Zhongyue Xu Xiangguo Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air Conditioners Zhileng xuebao household air conditioner energy conservation and emission reduction artificial intelligence data |
| title | Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air Conditioners |
| title_full | Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air Conditioners |
| title_fullStr | Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air Conditioners |
| title_full_unstemmed | Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air Conditioners |
| title_short | Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air Conditioners |
| title_sort | application of artificial intelligence in the field of energy conservation and emission reduction in residential air conditioners |
| topic | household air conditioner energy conservation and emission reduction artificial intelligence data |
| url | http://www.zhilengxuebao.com/thesisDetails#10.3969/j.issn.0253-4339.2023.03.014 |
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