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中国科学院数学与系统科学研究院机构知识库
KMS Of Academy of mathematics and systems sciences, CAS
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系统科学研究所 [1]
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汪寿阳 [1]
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期刊论文 [12]
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收录类别:SCI
语种:英语
资助项目:Fundamental Research Funds for the Central Universities[SK2021007]
资助项目:National Natural Science Foundation of China[72101197]
文献类型:期刊论文
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Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
期刊论文
ENERGY, 2023, 卷号: 263, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-e
;
Li, Yanzhao
;
Sun, Shaolong
;
Wang, Shouyang
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  |  
浏览/下载:89/0
  |  
提交时间:2023/02/07
Short -term load forecasting
Time series modeling
Dynamic decomposition-reconstruction tech
nique
Neural networks
A novel deep learning approach for tourism volume forecasting with tourist search data
期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 15
作者:
Li, Mingchen
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Wang, Shouyang
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  |  
浏览/下载:84/0
  |  
提交时间:2023/02/07
bi-directional gated recurrent unit
search engine data
stacked autoencoders
tourism volume forecasting
A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
期刊论文
JOURNAL OF FORECASTING, 2022, 页码: 22
作者:
Li, Zhongfei
;
Gan, Kai
;
Sun, Shaolong
;
Wang, Shouyang
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  |  
浏览/下载:95/0
  |  
提交时间:2023/02/07
AdaBoost-ensemble
deep learning
hybrid data preprocessing-analysis strategy
LSTM
Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects
期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
作者:
Liu, Yunhao
;
Feng, Gengzhong
;
Chin, Kwai-Sang
;
Sun, Shaolong
;
Wang, Shouyang
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  |  
浏览/下载:194/0
  |  
提交时间:2022/06/21
Tourism demand forecasting
daily tourism demand
holiday effects
seasonal patterns
FB Prophet
Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble
期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
作者:
Zhao, Erlong
;
Du, Pei
;
Azaglo, Ernest Young
;
Wang, Shouyang
;
Sun, Shaolong
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  |  
浏览/下载:206/0
  |  
提交时间:2022/04/29
Daily tourism volume forecasting
decomposition ensemble approach
sample entropy
kernel extreme learning machine
multi-kernel adaptive strategy
Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2022, 卷号: 149, 页码: 17
作者:
Li, Yanzhao
;
Guo, Ju-e
;
Sun, Shaolong
;
Li, Jianing
;
Wang, Shouyang
;
Zhang, Chengyuan
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  |  
浏览/下载:127/0
  |  
提交时间:2022/06/21
Air quality forecasting
Artificial intelligence
Machine learning
Scientometrics
Content analysis
Seasonal and trend forecasting of tourist arrivals: An adaptive multiscale ensemble learning approach
期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 18
作者:
Xing, Guangyuan
;
Sun, Shaolong
;
Bi, Dan
;
Guo, Ju-e
;
Wang, Shouyang
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  |  
浏览/下载:159/0
  |  
提交时间:2022/04/02
ensemble learning
least square support vector regression
seasonality
tourism demand forecasting
variational mode decomposition
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-E
;
Sun, Shaolong
;
Han, Jing
;
Wang, Shouyang
收藏
  |  
浏览/下载:145/0
  |  
提交时间:2022/04/02
Short-term load forecasting
Bivariate empirical mode decomposition
Decomposition-ensemble approach
Reconstruction
Bayesian optimization
Long short-term memory network
Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm
期刊论文
RESOURCES POLICY, 2021, 卷号: 74, 页码: 10
作者:
Du, Pei
;
Guo, Ju'e
;
Sun, Shaolong
;
Wang, Shouyang
;
Wu, Jing
收藏
  |  
浏览/下载:177/0
  |  
提交时间:2022/04/02
Metal prices forecasting
Data processing method
Optimized extreme learning machine
Hybrid forecasting model
Air pollution forecasting with multivariate interval decomposition ensemble approach
期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
作者:
Dong, Yawei
;
Zhang, Chengyuan
;
Niu, Mingfei
;
Wang, Shouyang
;
Sun, Shaolong
收藏
  |  
浏览/下载:148/0
  |  
提交时间:2022/04/02
Daily PM 10 concentration forecast
Air quality
Interval forecasting
Noise-assisted multivariate empirical mode
decomposition
Maximum mutual information