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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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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
Authors:
Zhao, Erlong
;
Du, Pei
;
Azaglo, Ernest Young
;
Wang, Shouyang
;
Sun, Shaolong
Favorite
  |  
View/Download:7/0
  |  
Submit date:2022/04/29
Daily tourism volume forecasting
decomposition ensemble approach
sample entropy
kernel extreme learning machine
multi-kernel adaptive strategy
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
Authors:
Xing, Guangyuan
;
Sun, Shaolong
;
Bi, Dan
;
Guo, Ju-e
;
Wang, Shouyang
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View/Download:7/0
  |  
Submit date: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
Authors:
Yang, Dongchuan
;
Guo, Ju-E
;
Sun, Shaolong
;
Han, Jing
;
Wang, Shouyang
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View/Download:11/0
  |  
Submit date:2022/04/02
Short-term load forecasting
Bivariate empirical mode decomposition
Decomposition-ensemble approach
Reconstruction
Bayesian optimization
Long short-term memory network
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
期刊论文
ENERGY, 2022, 卷号: 238, 页码: 14
Authors:
Yang, Wendong
;
Sun, Shaolong
;
Hao, Yan
;
Wang, Shouyang
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  |  
View/Download:6/0
  |  
Submit date:2022/04/02
Electricity price
Forecasting
Hybrid model
Model selection
Kernel-based extreme learning machine
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
Authors:
Du, Pei
;
Guo, Ju'e
;
Sun, Shaolong
;
Wang, Shouyang
;
Wu, Jing
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View/Download:18/0
  |  
Submit date: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
Authors:
Dong, Yawei
;
Zhang, Chengyuan
;
Niu, Mingfei
;
Wang, Shouyang
;
Sun, Shaolong
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  |  
View/Download:8/0
  |  
Submit date:2022/04/02
Daily PM 10 concentration forecast
Air quality
Interval forecasting
Noise-assisted multivariate empirical mode
decomposition
Maximum mutual information
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
Authors:
Jiang, Fuxin
;
Zhang, Chengyuan
;
Sun, Shaolong
;
Sun, Jingyun
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View/Download:3/0
  |  
Submit date:2022/04/29
PM2.5 concentration forecasting
Complete ensemble empirical mode
decomposition with adaptive noise
Temporal convolutional
Data patterns
Deep learning
Identifying environmental and health threats in unconventional oil and gas violations: evidence from Pennsylvania compliance reports
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 15
Authors:
Bi, Dan
;
Guo, Ju-E
;
Zhao, Erlong
;
Sun, Shaolong
;
Wang, Shouyang
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View/Download:16/0
  |  
Submit date:2022/04/02
Unconventional oil and gas
Text mining
LDA
Environmental violation
Decision tree
Environment pollution
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
Authors:
Sun, Shaolong
;
Jiang, Fuxin
;
Feng, Gengzhong
;
Wang, Shouyang
;
Zhang, Chengyuan
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  |  
View/Download:6/0
  |  
Submit date:2022/04/02
COVID-19
Hotel reviews
Text mining
Word2vec
Cluster analysis
Topic model
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study
期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
Authors:
Zhang, Chengyuan
;
Li, Mingchen
;
Sun, Shaolong
;
Tang, Ling
;
Wang, Shouyang
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View/Download:9/0
  |  
Submit date:2022/04/02
tourism demand forecasting
decomposition methods
variational mode decomposition
decomposition and ensemble
machine learning