4 citations · 9 across the 7 of their papers we have counts for
7 papers
Using word embedding for environmental violation analysis: Evidence from Pennsylvania unconventional oil and gas compliance reports
Dan Bi, Ju-e Guo, Erlong Zhao +2
With the booming of the unconventional oil and gas industry, its inevitable damage to the environment and human health has attracted public attention. We applied text mining on a t…
Knowledge Mapping in Electricity Demand Forecasting: A Scientometric Insight
Dongchuan Yang, Ju-e Guo, Jie Li +2
Forecasting electricity demand plays a fundamental role in the operation and planning procedures of power systems and the publications about electricity demand forecasting increasi…
New Research Trends in Unconventional Oil and Gas Environmental Issue: A Bibliometric Analysis
Dan Bi, Ju-e Guo, Shouyang Wang +1
With the booming of unconventional gas production in the world, how to balance environment pollution risk and economy of unconventional gas have become a common dilemma around the…
Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach
Shaolong Suna, Dan Bi, Ju-e Guo +1
The accurate seasonal and trend forecasting of tourist arrivals is a very challenging task. In the view of the importance of seasonal and trend forecasting of tourist arrivals, and…
A New Decomposition Ensemble Approach for Tourism Demand Forecasting: Evidence from Major Source Countries
Chengyuan Zhang, Fuxin Jiang, Shouyang Wang +1
The Asian-pacific region is the major international tourism demand market in the world, and its tourism demand is deeply affected by various factors. Previous studies have shown th…
Tourism Demand Forecasting: An Ensemble Deep Learning Approach
Shaolong Sun, Yanzhao Li, Ju-e Guo +1
The availability of tourism-related big data increases the potential to improve the accuracy of tourism demand forecasting, but presents significant challenges for forecasting, inc…
Distributed Continuous-time Approximate Projection Protocols for Shortest Distance Optimization Problems
Youcheng Lou, Yiguang Hong, Shouyang Wang
In this paper, we investigate the distributed shortest distance optimization problem for a multi-agent network to cooperatively minimize the sum of the quadratic distances from som…