{"id":"doi:10.1016/j.trd.2020.102389","kind":"article","title":"Machine learning approach to ship fuel consumption: A case of container vessel","authors":["Tayfun Uyanık","Çağlar Karatuğ","Yasin Arslanoğlu"],"author_count":3,"year":2020,"published":"2020-05-21","venue":"Transportation Research Part D Transport and Environment","cited_by":227,"doi":"10.1016/j.trd.2020.102389","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.trd.2020.102389","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.trd.2020.102389","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W3026900034","pdf_url":null,"abstract":null,"abstract_license":null,"license":null,"is_open_access":false,"retracted":false,"peer_reviewed":null,"categories":["Maritime Transport Emissions and Efficiency"],"details":null,"provenance":"openalex","attribution":"Metadata and citation counts: OpenAlex (CC0).","topics":[{"slug":"ai-weather-climate","name":"AI Weather & Climate Modeling","domain_slug":"energy"}],"cited_in_dossiers":[]}