Online big data-driven oil consumption forecasting with Google trends

Volume: 35, Issue: 1, Pages: 213 - 223
Published: Jan 1, 2018
Abstract
null null The rapid development of big data technologies and the Internet provides a rich mine of online big data (e.g., trend spotting) that can be helpful in predicting oil consumption — an essential but uncertain factor in the oil supply chain. An online big data-driven oil consumption forecasting model is proposed that uses Google trends, which finely reflect various related factors based on a myriad of search results. This model involves...
Paper Details
Title
Online big data-driven oil consumption forecasting with Google trends
Published Date
Jan 1, 2018
Volume
35
Issue
1
Pages
213 - 223
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.