RETROFIT55

Part of EU Open Research Repository
Published April 27, 2024 | Version v1
Dataset Open

Dataset related to the Journal Article 'A deep learning method for the prediction of ship fuel consumption in real operational conditions'

Creators

  • 1. ROR icon Aalto University
  • 2. ROR icon American Bureau of Shipping

Contributors

Data collector:

  • 1. ROR icon American Bureau of Shipping
  • 2. Laskaridis Shipping Co. Ltd., Athens, Greece
  • 3. ROR icon Aalto University

Description

This dataset contains the data used to plot the graphs and create tables corresponding to the figure/table number in the published version of the paper.
Paper DOI:https://doi.org/10.1016/j.engappai.2023.107425

 

Files

Files (5.2 MB)

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md5:2baf18372a07820c59abb5790d00693f
5.2 MB Download

Additional details

Related works

Is supplemented by
Journal article: 10.1016/j.engappai.2023.107425 (DOI)

Funding

European Commission
RETROFIT55 - RETROFIT SOLUTIONS TO ACHIEVE 55% GHG REDUCTION BY 2030 101096068

Dates

Available
2024-09-27