ikumpli / LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries

This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).

Date Created 2022-09-22 (2 years ago)

Commits 56 (last one 11 months ago)

Stargazers 61 (0 this week)

Watchers 1 (0 this week)

Forks 6

License unknown

Ranking

RepositoryStats indexes 628,089 repositories, of these ikumpli/LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries is ranked #427,517 (32nd percentile) for total stargazers, and #554,057 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,150/18,867.

ikumpli/LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries is also tagged with popular topics, for these it's ranked: deep-learning (#6,613/8781), generative-adversarial-network (#296/380)

Other Information

ikumpli/LSTM-GANS-RUL-Prediction-for-Lithium-ion-Bateries has Github issues enabled, there is 1 open issue and 1 closed issue.

All Topics

lstm deep-learning rul-prediction lithium-ion-batteries generative-adversarial-network

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2025-03-12 @ 08:40pm, id: 540048769 / R_kgDOIDB9gQ