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科研机构
数学与系统科学研究院 [3]
兰州理工大学 [2]
内容类型
期刊论文 [5]
发表日期
2021 [5]
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Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/04/29
PM2.5 concentration forecasting
Complete ensemble empirical mode
decomposition with adaptive noise
Temporal convolutional
Data patterns
Deep learning
The impact of COVID-19 on hotel customer satisfaction: evidence from Beijing and Shanghai in China
期刊论文
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2021, 页码: 25
作者:
Sun, Shaolong
;
Jiang, Fuxin
;
Feng, Gengzhong
;
Wang, Shouyang
;
Zhang, Chengyuan
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/04/02
COVID-19
Hotel reviews
Text mining
Word2vec
Cluster analysis
Topic model
High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part I, wind turbines on the side of single building
期刊论文
RENEWABLE ENERGY, 2021, 卷号: 177, 页码: 461-474
作者:
Xu, Wenhao
;
Li, Gaohua
;
Zheng, Xiaobo
;
Li, Ye
;
Li, Shoutu
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/10/14
Vertical axis wind turbine
Wind energy
Urban area
Computational fluid dynamics
Building
High-resolution numerical simulation of the performance of vertical axis wind turbines in urban area: Part II, array of vertical axis wind turbines between buildings
期刊论文
RENEWABLE ENERGY, 2021, 卷号: 176, 页码: 25-39
作者:
Xu, Wenhao
;
Li, Ye
;
Li, Gaohua
;
Li, Shoutu
;
Zhang, Chen
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  |  
浏览/下载:15/0
  |  
提交时间:2021/10/14
Vertical axis wind turbine
Urban area
Array
Building
Computational fluid dynamic
A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region
期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14
作者:
Zhang, Chengyuan
;
Jiang, Fuxin
;
Wang, Shouyang
;
Sun, Shaolong
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  |  
浏览/下载:60/0
  |  
提交时间:2021/04/26
artificial intelligence
Asia‐
Pacific region
decomposition ensemble approach
NA‐
MEMD
tourism demand forecasting
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