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How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9
Authors:  Sun, Shaolong;  Hu, Mengyuan;  Wang, Shouyang;  Zhang, Chengyuan
Favorite  |  View/Download：27/0  |  Submit date：2023/02/07
Tourism demand forecasting  Search engine data  Two -stage feature selection  Genetic algorithm  Kernel extreme learning machine  
Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach 期刊论文
ENERGY, 2023, 卷号: 263, 页码: 16
Authors:  Yang, Dongchuan;  Guo, Ju-e;  Li, Yanzhao;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：9/0  |  Submit date：2023/02/07
Short -term load forecasting  Time series modeling  Dynamic decomposition-reconstruction tech  nique  Neural networks  
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
Authors:  Sun, Shaolong;  Du, Zongjuan;  Zhang, Chengyuan;  Wang, Shouyang
Favorite  |  View/Download：7/0  |  Submit date：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
Authors:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan
Favorite  |  View/Download：11/0  |  Submit date：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
Authors:  Li, Mingchen;  Zhang, Chengyuan;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download：9/0  |  Submit date：2023/02/07
Tourism demand forecasting  divide and conquer  Facebook prophet  deep learning  peri-COVID-19 era  
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
Authors:  Li, Mingchen;  Zhang, Chengyuan;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：8/0  |  Submit date：2023/02/07
bi-directional gated recurrent unit  search engine data  stacked autoencoders  tourism volume forecasting  
A novel two-stage seasonal grey model for residential electricity consumption forecasting 期刊论文
ENERGY, 2022, 卷号: 258, 页码: 18
Authors:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing
Favorite  |  View/Download：6/0  |  Submit date：2023/02/07
Electricity consumption forecasting  Grey model  Seasonal factor  Error correction strategy  
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
Authors:  Li, Zhongfei;  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：5/0  |  Submit date：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
Authors:  Liu, Yunhao;  Feng, Gengzhong;  Chin, Kwai-Sang;  Sun, Shaolong;  Wang, Shouyang
Favorite  |  View/Download：45/0  |  Submit date：2022/06/21
Tourism demand forecasting  daily tourism demand  holiday effects  seasonal patterns  FB Prophet  
Regional variation in the drivers of China's residential electricity consumption (REC) and policy orientation 期刊论文
ENERGY FOR SUSTAINABLE DEVELOPMENT, 2022, 卷号: 67, 页码: 112-124
Authors:  Wang, Shubin;  Sun, Shaolong;  Zhao, Erlong;  Wang, Shouyang
Favorite  |  View/Download：45/0  |  Submit date：2022/06/21
Residential electricity consumption  Regional difference  LMDI method  China