Blar i NTNU Open på forfatter "Kim, YoungRong"

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    • Development of a Fuel Consumption Prediction Model Based on Machine Learning Using Ship In-Service Data 

      Kim, YoungRong; Jung, Min; Park, Jun-Bum (Peer reviewed; Journal article, 2021)
      As interest in eco-friendly ships increases, methods for status monitoring and forecasting using in-service data from ships are being developed. Models for predicting the energy efficiency of a ship in real time need to ...

    • Global Shipping Emissions from a Well-to-Wake Perspective: The MariTEAM Model 

      Kramel, Diogo; Muri, Helene; Kim, YoungRong; Lonka, Radek; Nielsen, Jørgen Bremnes; Ringvold, Anna L.; Bouman, Evert Alwin; Steen, Sverre; Strømman, Anders Hammer (Peer reviewed; Journal article, 2021)
      Improving the robustness of maritime emission inventories is important to ensure we fully understand the point of embarkment for transformation pathways of the sector toward the 1.5 and 2°C targets. A bottom-up assessment ...

    • A meta-model for added resistance in waves 

      Kim, YoungRong; Esmailian, Ehsan; Steen, Sverre (Peer reviewed; Journal article, 2022)
      In this paper, we perform a comprehensive study of various semi-empirical methods using publicly accessible experimental data on added resistance in waves with different ship types and conditions. Based on the analysis ...

    • A novel method for estimating missing values in ship principal data 

      Kim, YoungRong; Steen, Sverre; Muri, Helene (Peer reviewed; Journal article, 2022)
      Missing values in the fleet data set acquired in the marine sector reduce the data available for analysis, which can decrease the statistical power of the model and negatively affects the energy-efficient operation and ...

    • Streamlined semi-automatic data processing framework for ship performance analysis 

      Gupta, Prateek; Kim, YoungRong; Steen, Sverre; Rasheed, Adil (Peer reviewed; Journal article, 2023)
      The hydrodynamic performance of a sea-going ship can be analyzed using data from different sources, like onboard recorded in-service data, AIS data, and noon reports. Each of these sources is known to have its inherent ...