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Workshop: NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems

Decarbonizing Maritime Operations: A Data-Driven Revolution

Ismail Bourzak · Loubna Benabbou · Sara El Mekkaoui · Abdelaziz Berrado


The maritime industry faces an unprecedented challenge in the form of decarbonization. With strict emissions reduction targets in place, the industry is turning to machine learning-based decision support models to achieve sustainability goals. This proposal explores the transformative potential of digitalization and machine learning approaches in maritime operations, from optimizing ship speeds to enhancing supply chain management. By examining various machine learning techniques, this work provides a roadmap for reducing emissions while improving operational efficiency in the maritime sector.

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