Explainable machine learning for state-of-health prediction using electric vehicle histogram data
| dc.contributor.author | Carlsson, Eric | |
| dc.contributor.author | Hellqvist, Oskar | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för elektroteknik | sv |
| dc.contributor.examiner | Wik, Torsten | |
| dc.date.accessioned | 2022-12-20T11:55:04Z | |
| dc.date.available | 2022-12-20T11:55:04Z | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022 | |
| dc.identifier.coursecode | EENX30 | |
| dc.identifier.uri | https://odr.chalmers.se/handle/20.500.12380/305913 | |
| dc.setspec.uppsok | Technology | |
| dc.title | Explainable machine learning for state-of-health prediction using electric vehicle histogram data | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master's Thesis | en |
| dc.type.uppsok | H | |
| local.programme | Data science and AI (MPDSC), MSc | |
| local.programme | Computer science – algorithms, languages and logic (MPALG), MSc |