Prediction of Ship Fuel Consumption Due to the Effect of Weather Conditions

Sintia Megawati, Aulia Siti Aisjah, Sjarief Widjaja

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The route planning for ship navigation, carried out by navigators and captains, considers various factors, including the weather conditions in the navigated waters. This is because weather conditions are one of the factors that can affect the resistance experienced by the ship. Poor weather conditions can increase the ship's resistance, resulting in increased fuel consumption and posing a threat to the safety of the ship. Predicting fuel consumption while considering weather conditions is a research topic that has been the focus of many researchers. Various methods, especially artificial intelligence methods, are used for prediction, but the artificial neural network (ANN) method provides the best performance among the methods used. ANN could provide the best performance because it can model the relationships of a complex and nonlinear system, which cannot be converted into mathematical equations. Weather factors have been used as one of the input variables in previous studies, so this paper proposes considering weather factors as disturbance factors. This paper can serve as a guide for researchers to further develop the ANN method as one of the methods for predicting ship fuel consumption while considering weather conditions. The paper presents a comparison of the architectural models of ANN that have been used and how each architecture performs.

Original languageEnglish
Title of host publication2023 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationLeveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages786-791
Number of pages6
ISBN (Electronic)9798350313956
DOIs
Publication statusPublished - 2023
Event24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023 - Hybrid, Surabaya, Indonesia
Duration: 26 Jul 202327 Jul 2023

Publication series

Name2023 International Seminar on Intelligent Technology and Its Applications: Leveraging Intelligent Systems to Achieve Sustainable Development Goals, ISITIA 2023 - Proceeding

Conference

Conference24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023
Country/TerritoryIndonesia
CityHybrid, Surabaya
Period26/07/2327/07/23

Keywords

  • ANN
  • Fuel Oil Consumption
  • Prediction
  • Ship
  • Weather

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