5 citations · 16 across the 8 of their papers we have counts for
8 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…
A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network
Fuxin Jiang, Chengyuan Zhang, Shaolong Sun +1
For hourly PM2.5 concentration prediction, accurately capturing the data patterns of external factors that affect PM2.5 concentration changes, and constructing a forecasting model…
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…
AdaEnsemble Learning Approach for Metro Passenger Flow Forecasting
Shaolong Sun, Dongchuan Yang, Ju-e Guo +1
Accurate and timely metro passenger flow forecasting is critical for the successful deployment of intelligent transportation systems. However, it is quite challenging to propose an…
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…