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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：66/0  |  提交时间：2023/02/07
AdaBoost-ensemble  deep learning  hybrid data preprocessing-analysis strategy  LSTM  
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：168/0  |  提交时间：2022/04/29
Daily tourism volume forecasting  decomposition ensemble approach  sample entropy  kernel extreme learning machine  multi-kernel adaptive strategy  
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
收藏  |  浏览/下载：121/0  |  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：118/0  |  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  
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
作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun
收藏  |  浏览/下载：117/0  |  提交时间：2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning  
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
作者:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
收藏  |  浏览/下载：114/0  |  提交时间：2022/04/02
tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning  
Tourism demand forecasting: An ensemble deep learning approach 期刊论文
TOURISM ECONOMICS, 2021, 页码: 29
作者:  Sun, Shaolong;  Li, Yanzhao;  Guo, Ju-e;  Wang, Shouyang
收藏  |  浏览/下载：117/0  |  提交时间：2021/10/26
bagging  economic variables  ensemble deep learning  search intensity index  stacked autoencoder  tourism demand forecasting  
A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14
作者:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong
收藏  |  浏览/下载：170/0  |  提交时间：2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting  
A new ensemble deep learning approach for exchange rates forecasting and trading 期刊论文
ADVANCED ENGINEERING INFORMATICS, 2020, 卷号: 46, 页码: 10
作者:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载：132/0  |  提交时间：2021/04/26
Ensemble learning  Forecasting  Trading  Deep learning  LSTM