2601.17978v1.pdf

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      "creation_date": "2020-04-28T03:24:21Z",
      "keywords": [
        "Li-ion battery",
        "Machine learning",
        "Data-driven model",
        "State of health",
        "Remaining useful life",
        "Gaussian process regression"
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      "modified_date": "2020-04-28T03:24:21Z",
      "page_count": 16,
      "subject": "Journal of Energy Storage, 30 (2020) 101409. doi:10.1016/j.est.2020.101409",
      "title": "Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data \u2013 Part A_ Storage operation",
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