most citedA new hybrid approach for crude oil price forecasting: Evidence from multi-scale data

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2020

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…

cs.DL2020

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…

stat.AP2020

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…

cs.AI2020

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…

q-fin.ST20201 cited

A new hybrid approach for crude oil price forecasting: Evidence from multi-scale data

Yang Yifan, Guo Ju'e, Sun Shaolong +1

Faced with the growing research towards crude oil price fluctuations influential factors following the accelerated development of Internet technology, accessible data such as Googl…