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Data-driven adaptive GM(1,1) time series prediction model for thermal comfort.

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第一作者： Xiaoli,Li

第一单位： Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China.;Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China.;Engineering Research Center of Digital Community, Beijing University of Technology, Beijing, 100124, China.

作者： Xiaoli,Li ^[1] ; Chang,Xu ^[2] ; Kang,Wang ^[3] ; Xu,Yang ^[4] ; Yang,Li ^[5]

作者单位： Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China.;Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China.;Engineering Research Center of Digital Community, Beijing University of Technology, Beijing, 100124, China. ^[1] Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China. xuc@emails.bjut.edu.cn. ^[2] Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China. ^[3] School of Automation, The University of Science and Technology Beijing, Beijing, 100083, China. ^[4] School of International Studies, Communication University of China (CUC), Beijing, 100024, China. ^[5]

关键词 Adaptive GM(1,1)PMV (predicted mean vote)The time sequential prediction Thermal comfort

医学主题词人类(Humans);时间因素(Time Factors);温度(Temperature);湿度(Humidity);空气调节(Air Conditioning);风(Wind)

DOI 10.1007/s00484-023-02500-9

PMID 37347280

发布时间 2023-07-31

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准确一般字义偏差语意偏离译文作用小提交