A hybrid deep learning model for lithium-ion batteries state of charge estimation based on quantile regression and attention

Research article (Energy, 2024) · cited 41× · AI/ML
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A hybrid deep learning model for lithium-ion batteries state of charge estimation based on quantile regression and attention

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A hybrid deep learning model for lithium-ion batteries state of charge estimation based on quantile regression and attention is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A hybrid deep learning model for lithium-ion batteries state of charge estimation based on quantile regression and attention. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-deep-learning-model-for-lithium-ion-batteries-state-of-charge-estimation-based-on-quantile-regression-and-atten
MLA “A hybrid deep learning model for lithium-ion batteries state of charge estimation based on quantile regression and attention.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-deep-learning-model-for-lithium-ion-batteries-state-of-charge-estimation-based-on-quantile-regression-and-atten.
BibTeX @misc{4ortxyz_a-hybrid-deep-learning-model-for-lithium-ion-batteries-state-of-charge-estimation-based-on-quantile-regression-and-atten_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid deep learning model for lithium-ion batteries state of charge estimation based on quantile regression and attention}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-deep-learning-model-for-lithium-ion-batteries-state-of-charge-estimation-based-on-quantile-regression-and-atten}, note = {Accessed: 2026-05-24}}
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