Original paper
Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters
Abstract
As increasing numbers of merchant ships navigate in the Arctic waters, more energy efficient navigation in the Arctic is needed for both economic and environmental purposes. This paper aims to provide a comprehensive analysis of energy efficiency of ice-going ships. Firstly, a data-driven model based on neural network theory is developed to predict the energy efficiency of ships in the Arctic. Then, a route with optimum energy efficiency is...
Paper Details
Title
Data-driven ship energy efficiency analysis and optimization model for route planning in ice-covered Arctic waters
Published Date
Aug 1, 2019
Journal
Volume
186
Pages
106071 - 106071
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- 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.
Notes
History