| dc.contributor.author | Gomez, William | |
| dc.contributor.author | Wang, Fu-Kwun | |
| dc.contributor.author | Chou, Jia-Hong | |
| dc.date.accessioned | 2026-08-20T11:18:41Z | |
| dc.date.available | 2026-08-20T11:18:41Z | |
| dc.date.copyright | 2025/09/18 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | JLEED9.EYENG-6267.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312010 | |
| dc.description.abstract | AbstractEstimating the state of health and predicting the remaining useful life (RUL) of lithium-ion
(Li-ion) batteries has become a prominent research area. Accurate prediction of online
capacity decline trends and their RULs is critical to the continued ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | A Prediction Method Based on an Extended Temporal Fusion Transformer for the Cycle Life of Lithium-Ion Batteries | |
| dc.type | Journal Article | |
| dc.journal.volume | 151 | |
| dc.journal.issue | 6 | |
| dc.journal.title | Journal of Energy Engineering | |
| dc.identifier.doi | 10.1061/JLEED9.EYENG-6267 | |
| dc.journal.fristpage | 04025073-1 | |
| dc.journal.lastpage | 04025073-15 | |
| dc.page | 15 | |
| dc.tree | Journal of Energy Engineering:;2025:;Volume ( 151 ):;issue: 006 | |
| dc.contenttype | Fulltext | |
