2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Cerberus: A Deep Learning Hybrid Model for Lithium-Ion Battery Aging Estimation and Prediction Based on Relaxation Voltage Curves
Yue Xiang, Bo Jiang, Haifeng Dai
The degradation process of lithium-ion batteries is intricately linked to their entire lifecycle as power sources and energy storage devices, encompassing aspects such as performan…
cs.HC2023
LLM-based Frameworks for Power Engineering from Routine to Novel Tasks
Ran Li, Chuanqing Pu, Junyi Tao +4
The digitalization of energy sectors has expanded the coding responsibilities for power engineers and researchers. This research article explores the potential of leveraging Large…