Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Gao, Yuanqi"'
Unit commitment (UC) is a fundamental problem in the day-ahead electricity market, and it is critical to solve UC problems efficiently. Mathematical optimization techniques like dynamic programming, Lagrangian relaxation, and mixed-integer quadratic
Externí odkaz:
http://arxiv.org/abs/2206.04249
Autor:
Gao, Yuanqi, Yu, Nanpeng
To facilitate the development of reinforcement learning (RL) based power distribution system Volt-VAR control (VVC), this paper introduces a suite of open-source datasets for RL-based VVC algorithm research that is sample efficient, safe, and robust.
Externí odkaz:
http://arxiv.org/abs/2204.09500
Publikováno v:
IEEE Transactions on Smart Grid ( Volume: 13, Issue: 4, July 2022)
The rapid adoption of electric vehicles (EVs) calls for the widespread installation of EV charging stations. To maximize the profitability of charging stations, intelligent controllers that provide both charging and electric grid services are in grea
Externí odkaz:
http://arxiv.org/abs/2111.01294
Volt-VAR control (VVC) is a critical application in active distribution network management system to reduce network losses and improve voltage profile. To remove dependency on inaccurate and incomplete network models and enhance resiliency against co
Externí odkaz:
http://arxiv.org/abs/2007.02991
Dynamic distribution network reconfiguration (DNR) algorithms perform hourly status changes of remotely controllable switches to improve distribution system performance. The problem is typically solved by physical model-based control algorithms, whic
Externí odkaz:
http://arxiv.org/abs/2006.12749
This paper considers the subject of information losses arising from the finite datasets used in the training of neural classifiers. It proves a relationship between such losses as the product of the expected total variation of the estimated neural mo
Externí odkaz:
http://arxiv.org/abs/1902.05991
Publikováno v:
In Applied Energy 1 April 2023 335
Autor:
Gao, Yuanqi, Yu, Nanpeng
Publikováno v:
In Applied Energy 1 May 2022 313
Publikováno v:
In Systems & Control Letters February 2022 160
Autor:
Chen, Xixi1 (AUTHOR), Gao, Yuanqi1 (AUTHOR), Xie, Jinfang1 (AUTHOR), Hua, Huiying1 (AUTHOR), Pan, Chun1 (AUTHOR), Huang, Jiebin1 (AUTHOR), Jing, Mengxia1 (AUTHOR), Chen, Xuehua1 (AUTHOR), Xu, Chundi1 (AUTHOR) chundixu55@163.com, Gao, Yujing2 (AUTHOR) gaoyujing2004@126.com, Li, Pu1 (AUTHOR) lipufudan@126.com
Publikováno v:
Journal of Translational Medicine. 3/17/2023, Vol. 21 Issue 1, p1-17. 17p.