no code implementations • 10 Nov 2021 • Dan Bi, Ju-e Guo, Erlong Zhao, Shaolong Sun, Shouyang Wang
With the booming of the unconventional oil and gas industry, its inevitable damage to the environment and human health has attracted public attention.
no code implementations • 19 Feb 2020 • Shaolong Sun, Yanzhao Li, Ju-e Guo, Shouyang Wang
The availability of tourism-related big data increases the potential to improve the accuracy of tourism demand forecasting, but presents significant challenges for forecasting, including curse of dimensionality and high model complexity.
no code implementations • 19 Feb 2020 • Shaolong Suna, Dan Bi, Ju-e Guo, Shouyang Wang
In this study, a new adaptive multiscale ensemble (AME) learning approach incorporating variational mode decomposition (VMD) and least square support vector regression (LSSVR) is developed for short-, medium-, and long-term seasonal and trend forecasting of tourist arrivals.
no code implementations • 18 Feb 2020 • Shaolong Sun, Dongchuan Yang, Ju-e Guo, Shouyang Wang
Then we employ SARIMA model to forecast the periodic component, LSTM network to learn and forecast deterministic component and MLP network to forecast volatility component.
no code implementations • 7 Jan 2019 • Haibin Xie, Shouyang Wang
We found significant asymmetry between PMG and PML.