Home ›
Entities
› academia
› State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation
State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation
Research article (Journal of Power Sources, 2024) · cited 13× · AI/ML
State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation
Summary
State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation is a scholarly article[1].
Key Facts
State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation. Retrieved May 24, 2026, from https://4ort.xyz/entity/state-of-charge-estimation-across-battery-chemistries-a-novel-regression-based-method-and-insights-from-unsupervised-dom
MLA“State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/state-of-charge-estimation-across-battery-chemistries-a-novel-regression-based-method-and-insights-from-unsupervised-dom.
BibTeX@misc{4ortxyz_state-of-charge-estimation-across-battery-chemistries-a-novel-regression-based-method-and-insights-from-unsupervised-dom_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation}}, year = {2026}, url = {https://4ort.xyz/entity/state-of-charge-estimation-across-battery-chemistries-a-novel-regression-based-method-and-insights-from-unsupervised-dom}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation — https://4ort.xyz/entity/state-of-charge-estimation-across-battery-chemistries-a-novel-regression-based-method-and-insights-from-unsupervised-dom (retrieved 2026-05-24)
