Data science and advanced analytics for shipping energy systems

Book chapter (2022)

Authors

A. Coraddu Ship Design, Production and Operations - Mechanical, Maritime and Materials Engineering
Miltiadis Kalikatzarakis University of Strathclyde
J.M. Walker Ship Design, Production and Operations - Mechanical, Maritime and Materials Engineering
Davide Ilardi University of Genova
Luca Oneto University of Genova
Research Group
Ship Design, Production and Operations (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2022 A. Coraddu, Miltiadis Kalikatzarakis, J.M. Walker, Davide Ilardi, Luca Oneto
DOI
help_outline
https://doi.org/10.1016/B978-0-12-824471-5.00014-1
Artificial intelligence Data mining Machine learning (ML) Data science Advanced analytics Shipping energy systems
More Info
expand_more

Published Date

2022

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Ship Design, Production and Operations

Abstract

The purpose of this chapter is to provide an overview of the state-of-the-art and future perspectives of Data Science and Advanced Analytics for Shipping Energy Systems. Specifically, we will start by listing the different static and dynamic data sources and knowledge base available in this particular context. Then we will review the Data Science and Advanced Analytics technologies that can leverage these data to extract and synthesize new additional actionable information, suggestions, and actions. We will then review the current exploitation strategies of these technologies aiming at improving the current Shipping Energy Systems. In conclusion, we will depict our vision on the future perspectives of the application and adoption of Data Science and Advanced Analytics for shaping the next generations of Shipping Energy Systems.