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科研机构
数学与系统科学研究院 [6]
内容类型
期刊论文 [6]
发表日期
2022 [6]
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发表日期:2022
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IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34
作者:
Sun, Shaolong
;
Du, Zongjuan
;
Zhang, Chengyuan
;
Wang, Shouyang
收藏
  |  
浏览/下载:276/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Multi-step ahead strategies
MIMO
DIRMO
Extreme learning machine
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12
作者:
Sun, Shaolong
;
Li, Mingchen
;
Wang, Shouyang
;
Zhang, Chengyuan
收藏
  |  
浏览/下载:275/0
  |  
提交时间:2023/02/07
Tourism demand
Multi -step ahead forecasting
Privileged information
Machine learning
Kernel random vector functional link network
Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19
期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 24
作者:
Li, Mingchen
;
Zhang, Chengyuan
;
Wang, Shouyang
;
Sun, Shaolong
收藏
  |  
浏览/下载:279/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
divide and conquer
Facebook prophet
deep learning
peri-COVID-19 era
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:280/0
  |  
提交时间:2022/06/21
Tourism demand forecasting
daily tourism demand
holiday effects
seasonal patterns
FB Prophet
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:287/0
  |  
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
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浏览/下载:20/0
  |  
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
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