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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：65/0  |  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：62/0  |  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：61/0  |  提交时间：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
作者:  Li, Mingchen;  Zhang, Chengyuan;  Sun, Shaolong;  Wang, Shouyang
收藏  |  浏览/下载：54/0  |  提交时间：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
作者:  Du, Pei;  Guo, Ju'e;  Sun, Shaolong;  Wang, Shouyang;  Wu, Jing
收藏  |  浏览/下载：62/0  |  提交时间：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
作者:  Li, Zhongfei;  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang
收藏  |  浏览/下载：63/0  |  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
收藏  |  浏览/下载：164/0  |  提交时间：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
作者:  Wang, Shubin;  Sun, Shaolong;  Zhao, Erlong;  Wang, Shouyang
收藏  |  浏览/下载：97/0  |  提交时间：2022/06/21
Residential electricity consumption  Regional difference  LMDI method  China  
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
收藏  |  浏览/下载：165/0  |  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
收藏  |  浏览/下载：95/0  |  提交时间：2022/06/21
Air quality forecasting  Artificial intelligence  Machine learning  Scientometrics  Content analysis