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.
| Original language | English |
|---|---|
| Title of host publication | Sustainable Energy Systems on Ships |
| Subtitle of host publication | Novel Technologies for Low Carbon Shipping |
| Editors | Francesco Baldi, Andrea Coraddu, Maria E. Mondejar |
| Publisher | Elsevier |
| Chapter | 7 |
| Pages | 303-349 |
| ISBN (Electronic) | 978-0-12-824471-5 |
| ISBN (Print) | 978-0-32-385990-5 |
| DOIs | |
| Publication status | Published - 2022 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Advanced analytics
- Artificial intelligence
- Data mining
- Data science
- Machine learning (ML)
- Shipping energy systems
