huzaifi18 / RUL_prediction

The project focused on "Battery Remaining Useful Life (RUL) Prediction using a Data-Driven Approach with a Hybrid Deep Model combining Convolutional Neural Networks (CNN) and Long-Short Term Memory (LSTM)." This repository aims to revolutionize battery health estimation by leveraging the power of deep learning to predict the remaining useful life

Date Created 2023-08-03 (about a year ago)

Commits 8 (last one about a year ago)

Stargazers 58 (0 this week)

Watchers 3 (0 this week)

Forks 9

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these huzaifi18/RUL_prediction is ranked #425,202 (29th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #81,204/119,431.

Other Information

huzaifi18/RUL_prediction has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 0 closed issues.

All Topics

rul lithium-ion-batteries remaining-useful-life-prediction

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Recent Commit History

8 commits on the default branch (main) since jan '22

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Languages

The only known language in this repository is Python

updated: 2024-12-20 @ 06:28am, id: 674123623 / R_kgDOKC5PZw