Optimizing Fleet Performance and Reducing Fuel Consumption: Performance Modeling Excellence at Nautilus Labs

By Zachary Tessler, Director of Data Science

This White Paper focuses on Digital Twin technology in the maritime industry and the importance of model accuracy and validation, highlighting the barriers that exist to building accurate, useful, and reliable Digital Twins. The paper explains how Nautilus Labs uses machine learning algorithms based on naval architecture and hydrodynamic theory to create models that are interpretable and accurate even when data is less abundant. Finally, the White Paper explores Nautilus’s model accuracy rates and validation methods.

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