Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Liang Tongyi"'
Autor:
Liang, Tongyi, Li, Han-Xiong
Existing models encounter bottlenecks in balancing performance and computational efficiency when modeling long sequences. Although the state space model (SSM) has achieved remarkable success in handling long sequence tasks, it still faces the problem
Externí odkaz:
http://arxiv.org/abs/2402.15290
Autor:
Liang, Tongyi, Li, Han-Xiong
Although deep learning-based methods have shown great success in spatiotemporal predictive learning, the framework of those models is designed mainly by intuition. How to make spatiotemporal forecasting with theoretical guarantees is still a challeng
Externí odkaz:
http://arxiv.org/abs/2402.15284
Autor:
Su, Fan, Liu, Zhiyue, Yuan, Jieyi, Hou, Li, Liang, Tongyi, Wang, Yifei, Zhang, Qinfang, Dai, Yong, Cao, Shuhong, Chen, Jingwen
Publikováno v:
In Journal of Luminescence May 2024 269
Publikováno v:
In Journal of Energy Storage December 2020 32
Publikováno v:
In International Journal of Electrical Power and Energy Systems February 2020 115
Publikováno v:
In International Journal of Hydrogen Energy 12 November 2019 44(56):29450-29459
Publikováno v:
2018 IEEE International Conference on Applied System Invention (ICASI).
This paper presents a universal method of incremental capacity (IC)/differential voltage (DV) curves acquisition for lithium ion batteries based on moving average and empirical mode decomposition (MA-EMD). MA is firstly utilized to smooth the battery