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Data Augmentation3

[Electronics-2023] A Novel Fusion Approach Consisting of GAN and State-of-Charge Estimator for synthetic Battery Operation Data Generation [논문 전문] : https://www.mdpi.com/2079-9292/12/3/657[출처] Wong, K.L.; Chou, K.S.; Tse, R.; Tang, S.-K.; Pau, G. A Novel Fusion Approach Consisting of GAN and State-of Charge Estimator for Synthetic Battery Operation Data Generation. Electronics 2023, 12, 657. https://doi.org/10.3390/electronics12030657 ※ The picture and content of this article are from the original paper.All picture and figures use.. 2025. 7. 14.
[Energy Storage-2024] State of charge estimation for lithium-ion batteries based on data augmentation with generative adversarial networks [논문 전문] : https://www.sciencedirect.com/science/article/abs/pii/S2352152X23034035[출처] Chunsheng Hu, Fangjuan Cheng, Yong Zhao, Shanshan Guo, Liang Ma, State of charge estimation for lithium-ion batteries based on data augmentation with generative adversarial network, Journal of Energy Storage, Volume 80, 2024, 110004, ISSN 2352-152X, https://doi.org/10.1016/j.est.2023.110004. ※ The picture and c.. 2025. 7. 7.
[ICDM-2021] Towards Generating Real-World Time Series Data [논문 전문] : https://onlinelibrary.wiley.com/doi/abs/10.1002/er.7013[출처] https://arxiv.org/abs/2111.08386 ※ The picture and content of this article are from the original paper.All picture and figures used in this article are sourced from publicily available on the internet. [논문 요약]Towards Generating Real-World Time Series Data Microsoft와 UIUC에서 나온 RTS-GAN이라는 논문입니다.데이터의 퀄리티에 집중하는것 보다는, 실제 데이터에서 있는 .. 2025. 6. 30.

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