{"id":"doi:10.1016/j.oceaneng.2019.106282","kind":"article","title":"Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study","authors":["Christos Gkerekos","Iraklis Lazakis","Γεράσιμος Θεοτοκάτος"],"author_count":3,"year":2019,"published":"2019-08-26","venue":"Ocean Engineering","cited_by":252,"doi":"10.1016/j.oceaneng.2019.106282","arxiv_id":null,"nct_id":null,"source_url":"https://doi.org/10.1016/j.oceaneng.2019.106282","archive_url":"https://space-kitty.com/papers/doi:10.1016/j.oceaneng.2019.106282","updated":null,"pmid":null,"pmcid":null,"openalex_id":"W2970948886","pdf_url":"https://strathprints.strath.ac.uk/70040/1/Gkerekos_etal_OE_2019_Machine_learning_models_for_predicting_ship_main_engine_Fuel_Oil_Consumption.pdf","abstract":null,"abstract_license":null,"license":null,"is_open_access":true,"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":[]}