Multiple linear regression analysis and artificial neural networks based decision support system for energy efficiency in shipping

ÖZTÜRK O. B., BAŞAR E.

OCEAN ENGINEERING, vol.243, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 243
  • Publication Date: 2022
  • Doi Number: 10.1016/j.oceaneng.2021.110209
  • Journal Name: OCEAN ENGINEERING
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Compendex, Computer & Applied Sciences, Environment Index, Geobase, ICONDA Bibliographic, INSPEC, Metadex, Civil Engineering Abstracts
  • Recep Tayyip Erdoğan University Affiliated: Yes

Abstract

The studies of energy efficiency in shipping have grown in importance in light of recent air pollution developments. Moreover, the Fourth Greenhouse Gas (GHG) Study of the International Maritime Organization (IMO) has also revealed that energy consumption and emissions from maritime transportation still continue to increase considerably.