World Data Ocean/Data-Driven Model (DDM)

Data-Driven Model (DDM)

Data-Driven Model (DDM) on World Data Ocean: a running collection of one story we have gathered and hand-picked because they are worth your time. Every post here touches on data-driven model (ddm) in some way — the news, the analysis, the deep dives, and the occasional surprise find. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to explore, analyze, and… New stories are added to this page as we find them, so check back if you want to keep up with what is happening around data-driven model (ddm), or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything World Data Ocean is covering right now.

Physics-informed residual learning for ship speed prediction across wind–wave–current scenarios
Frontiers in Marine Science | New and Recent Articles

Physics-informed residual learning for ship speed prediction across wind–wave–current scenarios

Accurate ship speed prediction is critical for voyage optimization and energy efficiency, particularly when navigating complex wind, wave, and current conditions. This study rigorously evaluates three approaches—a physics-based model, a data-driven model (DDM), and a physics-informed hybrid model (PHDM)—demonstrating that the PHDM consistently achieves superior results. Across analyzed scenarios, the PHDM yielded an average MAPE of 3.0168%, outperforming both the Physics model and DDM. For further insights into maritime operations, see our recent coverage of the *Glovis Lighthouse*'s arrival at the Port of Southampton.