Finding the de-carbonization potentials in the transport sector: application of scenario analysis with a hybrid prediction model

Volume: 27, Issue: 17, Pages: 21762 - 21776
Published: Apr 11, 2020
Abstract
De-carbonization of the transport sector is an important pathway to climate-change mitigation and presents the potential for future lower emissions. To assess the potential quantitatively under different optimization measures, this paper presents a hybrid model combining an integrated machine learning model with the scenario analysis. We compare the training accuracy of the back-propagation neural networks (BPNN), Gaussian process regression...
Paper Details
Title
Finding the de-carbonization potentials in the transport sector: application of scenario analysis with a hybrid prediction model
Published Date
Apr 11, 2020
Volume
27
Issue
17
Pages
21762 - 21776
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.