Machine learning to predict future power and energy demands in the battery electric vehicles
| dc.contributor.author | Davidson, Sujitha | |
| dc.contributor.author | Zhang, Ze | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
| dc.contributor.examiner | Åkesson, Knut | |
| dc.date.accessioned | 2020-08-18T12:51:16Z | |
| dc.date.available | 2020-08-18T12:51:16Z | |
| dc.date.issued | 2020 | sv |
| dc.date.submitted | 2020 | |
| dc.identifier.coursecode | EENX30 | sv |
| dc.identifier.uri | https://hdl.handle.net/20.500.12380/301526 | |
| dc.language.iso | eng | sv |
| dc.setspec.uppsok | Technology | |
| dc.title | Machine learning to predict future power and energy demands in the battery electric vehicles | sv |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.uppsok | H | |
| local.programme | Systems, control and mechatronics (MPSYS), MSc |