Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Hong, Tianqi"'
Non-intrusive load monitoring (NILM) identifies the status and power consumption of various household appliances by disaggregating the total power usage signal of an entire house. Efficient and accurate load monitoring facilitates user profile establ
Externí odkaz:
http://arxiv.org/abs/2307.14778
Autor:
Liu, Xinran1,2 (AUTHOR), Hong, Tianqi3 (AUTHOR), Luo, Chang1,2 (AUTHOR), Xie, Shitong1,2 (AUTHOR) xiest@tju.edu.cn, Wu, Jing1,2 (AUTHOR) jingwu@tju.edu.cn
Publikováno v:
Health & Quality of Life Outcomes. 11/5/2024, Vol. 22 Issue 1, p1-11. 11p.
Publikováno v:
In Optics and Laser Technology February 2025 181 Part C
Autor:
Wang, Jiefu1 (AUTHOR), Hong, Tianqi2 (AUTHOR), Fang, Haoran3 (AUTHOR), Luo, Chang3,4 (AUTHOR), He, Xiaoning3,4 (AUTHOR), Xie, Shitong3,4 (AUTHOR) xiest@tju.edu.cn
Publikováno v:
Health & Quality of Life Outcomes. 7/29/2024, Vol. 22 Issue 1, p1-11. 11p.
Autor:
Zhang, Yuanhan, Yin, Zhenfei, Shao, Jing, Liu, Ziwei, Yang, Shuo, Xiong, Yuanjun, Xia, Wei, Xu, Yan, Luo, Man, Liu, Jian, Li, Jianshu, Chen, Zhijun, Guo, Mingyu, Li, Hui, Liu, Junfu, Gao, Pengfei, Hong, Tianqi, Han, Hao, Liu, Shijie, Chen, Xinhua, Qiu, Di, Zhen, Cheng, Liang, Dashuang, Jin, Yufeng, Hao, Zhanlong
As facial interaction systems are prevalently deployed, security and reliability of these systems become a critical issue, with substantial research efforts devoted. Among them, face anti-spoofing emerges as an important area, whose objective is to i
Externí odkaz:
http://arxiv.org/abs/2102.12642
With the increasing penetration of renewable energy, frequency response and its security are of significant concerns for reliable power system operations. Frequency-constrained unit commitment (FCUC) is proposed to address this challenge. Despite exi
Externí odkaz:
http://arxiv.org/abs/2102.09583
Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions online, including network reconfiguration and reactive power dispatch. The
Externí odkaz:
http://arxiv.org/abs/2011.14458
Traditional methods for solvability region analysis can only have inner approximations with inconclusive conservatism. Machine learning methods have been proposed to approach the real region. In this letter, we propose a deep active learning framewor
Externí odkaz:
http://arxiv.org/abs/2007.13250
Robust Trajectory-Constrained Frequency Control for Microgrids Considering Model Linearization Error
The capability to switch between grid-connected and islanded modes has promoted adoption of microgrid technology for powering remote locations. Stabilizing frequency during the islanding event, however, is a challenging control task, particularly und
Externí odkaz:
http://arxiv.org/abs/2003.02905
In this paper, we introduce a deep learning aided constraint encoding method to tackle the frequency-constraint microgrid scheduling problem. The nonlinear function between system operating condition and frequency nadir is approximated by using a neu
Externí odkaz:
http://arxiv.org/abs/2001.05775