Machine learning to predict future power and energy demands in the battery electric vehicles

dc.contributor.authorDavidson, Sujitha
dc.contributor.authorZhang, Ze
dc.contributor.departmentChalmers tekniska högskola / Institutionen för elektrotekniksv
dc.contributor.examinerÅkesson, Knut
dc.date.accessioned2020-08-18T12:51:16Z
dc.date.available2020-08-18T12:51:16Z
dc.date.issued2020sv
dc.date.submitted2020
dc.identifier.coursecodeEENX30sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/301526
dc.language.isoengsv
dc.setspec.uppsokTechnology
dc.titleMachine learning to predict future power and energy demands in the battery electric vehiclessv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
local.programmeSystems, control and mechatronics (MPSYS), MSc
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