no code implementations • 3 Jun 2024 • Borui Zhang, Chaojie Li, Guo Chen, ZhaoYang Dong
Secondly, the erratic decisions of the DRL agent caused by imperfectly predicted market information increases the risk of profit loss.
no code implementations • 11 May 2024 • Renyou Xie, Xin Yin, Chaojie Li, Nian Liu, Bo Zhao, ZhaoYang Dong
Distribution system state estimation (DSSE) plays a crucial role in the real-time monitoring, control, and operation of distribution networks.
no code implementations • 30 Apr 2024 • Yi Li, Renyou Xie, Chaojie Li, Yi Wang, ZhaoYang Dong
To address these challenges, a federated graph learning approach involving multiple charging stations is proposed to collaboratively train a more generalized deep learning model for demand forecasting while capturing spatial correlations among various stations and enhancing robustness against potential attacks.
no code implementations • 3 Nov 2022 • Liangchen Liu, Qiuhong Ke, Chaojie Li, Feiping Nie, Yingying Zhu
In this paper, we formulate a novel clustering model, which exploits the non-negative feature property and, more importantly, incorporates the multi-view information into a unified joint learning framework: the unified multi-view orthonormal non-negative graph based clustering framework (Umv-ONGC).
no code implementations • 27 Sep 2019 • Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Honghui Tu, Xue Li
In addition, we propose to jointly learn user-user group (item-item group) hierarchies, so that we can effectively discover latent groups and learn compact user/item representations.