Shifts Marine Cargo Vessel Power Consumption Prediction Dataset

Authors: Malinin, Andrey; Athanasopoulos, Andreas; Barakovic, Muhamed; Bach Cuadra, Meritxell; Gales, Mark; Granziera, Cristina; Graziani, Mara; +11 Authors

doi: 10.5281/zenodo.7057666 , 10.5281/zenodo.7057665 , 10.5281/zenodo.7684813

Shifts Marine Cargo Vessel Power Consumption Prediction Dataset

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Abstract

This archive contains the data for the Shifts Benchmark on cargo vessel power consumption prediction. This dataset is provided by the Shifts Project to enable assessment of the robustness of models to distributional shift and the quality of their uncertainty estimates. A full description of the benchmark is available in https://arxiv.org/pdf/2206.15407. To find out more about the Shifts Project, please visit https://shifts.ai .

{"references": ["Malinin, Andrey et al. (2022). \u00a0Shifts 2.0: Extending The Dataset of Real Distributional Shifts, arXiv:2206.15407"]}

This work is supported by the Hasler Foundation, Cambridge University Press and Cambridge Assessment and DeepSea

Related Organizations

University of Basel
Switzerland
University of Lausanne
Switzerland
IBM (United States)
United States
Icahn School of Medicine at Mount Sinai
United States
University of Cambridge
United Kingdom

Keywords

Uncertainty Estimation, Tabular data, Decarbonisation, Robustness, Regression, Distributional Shift

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