Predicting Fuel Consumption of Marine Vessels - Using Boosted Regression Trees and Structured State-space Sequence Models While Considering Weather Forecasts

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dc.contributor.authorLundgren, Karl
dc.contributor.authorNorlin, Erik
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.examinerKulcsár, Balázs
dc.date.accessioned2024-06-13T10:53:59Z
dc.date.available2024-06-13T10:53:59Z
dc.date.issued2024
dc.date.submitted
dc.identifier.coursecodeEENX30
dc.identifier.urihttp://hdl.handle.net/20.500.12380/307827
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.titlePredicting Fuel Consumption of Marine Vessels - Using Boosted Regression Trees and Structured State-space Sequence Models While Considering Weather Forecasts
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster's Thesisen
dc.type.uppsokH
local.programmeComplex adaptive systems (MPCAS), MSc

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