Predicting vessel fuel consumption and prescribing optimal trim using vessel on-board sensor data

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Keywords	IoT data, vessel fuel consumption, prediction
Thesis Advisor	van Dalen, Jan, Bode, Ben
Persistent URL	hdl.handle.net/2105/54565
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Yang, Haoyu. (2020, August 31). Predicting vessel fuel consumption and prescribing optimal trim using vessel on-board sensor data. Business Information Management. Retrieved from http://hdl.handle.net/2105/54565

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