Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method
文献类型：期刊论文
| 作者 | Li, Chengdong1; Zhang, Guiqing1; Wang, Ming1; Yi, Jianqiang2
|
| 刊名 | SOFT COMPUTING
 |
| 出版日期 | 2013-11-01 |
| 卷号 | 17期号:11页码:2075-2088 |
| 关键词 | Type-2 fuzzy Data-driven method Thermal comfort Multiobjective optimization Energy saving |
| 英文摘要 | In the research domain of intelligent buildings and smart home, modeling and optimization of the thermal comfort and energy consumption are important issues. This paper presents a type-2 fuzzy method based data-driven strategy for the modeling and optimization of thermal comfort words and energy consumption. First, we propose a methodology to convert the interval survey data on thermal comfort words to the interval type-2 fuzzy sets (IT2 FSs) which can reflect the inter-personal and intra-personal uncertainties contained in the intervals. This data-driven strategy includes three steps: survey data collection and pre-processing, ambiguity-preserved conversion of the survey intervals to their representative type-1 fuzzy sets (T1 FSs), IT2 FS modeling. Then, using the IT2 FS models of thermal comfort words as antecedent parts, an evolving type-2 fuzzy model is constructed to reflect the online observed energy consumption data. Finally, a multiobjective optimization model is presented to recommend a reasonable temperature range that can give comfortable feeling while reducing energy consumption. The proposed method can be used to realize comfortable but energy-saving environment in smart home or intelligent buildings. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | INTERVAL TYPE-2 ; SYSTEMS ; SETS ; FUZZISTICS ; IDENTIFICATION ; APPROXIMATION ; STABILIZATION ; CONTROLLERS ; PREDICTION ; NUMBER |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000325822900010 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/4168]  |
| 专题 | 自动化研究所_综合信息系统研究中心 |
| 作者单位 | 1.Shandong Jianzhu Univ, Sch Informat & Elect Engn, Jinan, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Chengdong,Zhang, Guiqing,Wang, Ming,et al. Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method[J]. SOFT COMPUTING,2013,17(11):2075-2088. |
| APA | Li, Chengdong,Zhang, Guiqing,Wang, Ming,&Yi, Jianqiang.(2013).Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method.SOFT COMPUTING,17(11),2075-2088. |
| MLA | Li, Chengdong,et al."Data-driven modeling and optimization of thermal comfort and energy consumption using type-2 fuzzy method".SOFT COMPUTING 17.11(2013):2075-2088. |
入库方式： OAI收割
来源：自动化研究所
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