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| Published in: | Energy Conversion and Economics |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868576126675189760 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Energy Conversion and Economics |
| description | |
| discipline_display | Business and Economics |
| discipline_facet | Business and Economics |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:94462 |
| institution | FRELIP |
| journal_source_facet | Energy Conversion and Economics |
| last_indexed | 2026-06-21T03:37:39.748Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning Business and Economics General Business and Economics |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Business and Economics General Business and Economics |
| subject_facet | Business and Economics General Business and Economics |
| title | State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning |
| title_alt | Estimación del estado de salud de baterías de iones de litio mediante aprendizaje extremo con múltiples núcleos optimizado por algoritmo heurístico moderno Estimation de l'état de santé des batteries lithium-ion à l'aide d'un apprentissage extrême à noyaux multiples optimisé par un algorithme heuristique moderne Estimativa do estado de saúde para baterias de íon-lítio usando algoritmo heurístico moderno otimizado por múltiplos kernels de aprendizado extremo |
| title_auth | State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning |
| title_es_txt | Estimación del estado de salud de baterías de iones de litio mediante aprendizaje extremo con múltiples núcleos optimizado por algoritmo heurístico moderno |
| title_fr_txt | Estimation de l'état de santé des batteries lithium-ion à l'aide d'un apprentissage extrême à noyaux multiples optimisé par un algorithme heuristique moderne |
| title_full | State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning |
| title_fullStr | State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning |
| title_full_unstemmed | State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning |
| title_pt_txt | Estimativa do estado de saúde para baterias de íon-lítio usando algoritmo heurístico moderno otimizado por múltiplos kernels de aprendizado extremo |
| title_short | State of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning |
| title_sort | state of health estimation for lithium‐ion batteries using modern heuristic algorithm optimized multiple kernel extreme learning |
| topic | Business and Economics General Business and Economics |
| url | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/enc2.70041?af=R |