A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting

Research article (Applied Energy, 2024) · cited 19× · AI/ML
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A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting

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A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-collaborative-interaction-gate-based-deep-learning-model-with-optimal-bandwidth-adjustment-strategies-for-lithium-ion-
MLA “A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-collaborative-interaction-gate-based-deep-learning-model-with-optimal-bandwidth-adjustment-strategies-for-lithium-ion-.
BibTeX @misc{4ortxyz_a-collaborative-interaction-gate-based-deep-learning-model-with-optimal-bandwidth-adjustment-strategies-for-lithium-ion-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/a-collaborative-interaction-gate-based-deep-learning-model-with-optimal-bandwidth-adjustment-strategies-for-lithium-ion-}, note = {Accessed: 2026-05-24}}
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