Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Wu, Dongqi"'
Autor:
Wu, Dongqi, Zheng, Xiangtian, Menati, Ali, Smith, Lane, Xia, Bainan, Xu, Yixing, Singh, Chanan, Xie, Le
The February 2021 Texas winter power outage has led to hundreds of deaths and billions of dollars in economic losses, largely due to the generation failure and record-breaking electric demand. In this paper, we study the scaling-up of demand flexibil
Externí odkaz:
http://arxiv.org/abs/2206.00184
Autor:
Zhou, Huanyi, Wu, Dongqi, Sang, Kaihang, Chen, Yan, Wu, Shan, Wei, Jianwu, Ding, Feifei, Su, Qionghua, Tong, Zhensang, Liang, Xuexue, Pang, Qi, Chen, Peican, Zhou, Liya
Publikováno v:
In Chemical Engineering Journal 1 January 2025 503
This paper presents OpenGridGym, an open-source Python-based package that allows for seamless integration of distribution market simulation with state-of-the-art artificial intelligence (AI) decision-making algorithms. We present the architecture and
Externí odkaz:
http://arxiv.org/abs/2203.04410
Autor:
Zheng, Xiangtian, Xu, Nan, Trinh, Loc, Wu, Dongqi, Huang, Tong, Sivaranjani, S., Liu, Yan, Xie, Le
The electric grid is a key enabling infrastructure for the ambitious transition towards carbon neutrality as we grapple with climate change. With deepening penetration of renewable energy resources and electrified transportation, the reliable and sec
Externí odkaz:
http://arxiv.org/abs/2110.06324
This paper introduces PyProD, a Python-based machine learning (ML)-compatible test-bed for evaluating the efficacy of protection schemes in electric distribution grids. This testbed is designed to bridge the gap between conventional power distributio
Externí odkaz:
http://arxiv.org/abs/2109.05802
An Open-source Model for Simulation and Corrective Measure Assessment of the 2021 Texas Power Outage
Unprecedented winter storms that hit across Texas in February 2021 have caused at least 69 deaths and 4.5 million customer interruptions due to the wide-ranging generation capacity outage and record-breaking electricity demand. While much remains to
Externí odkaz:
http://arxiv.org/abs/2104.04146
Autor:
Wu, Dongqi1 (AUTHOR), Yang, Yuqing1 (AUTHOR), Yang, Yankun1 (AUTHOR), Li, Liang1 (AUTHOR), Fu, Shishi1 (AUTHOR), Wang, Lei1 (AUTHOR), Tan, Li2 (AUTHOR), Lu, Xiuhong3 (AUTHOR), Zhang, Weiyu1 (AUTHOR), Di, Wenda1 (AUTHOR) diwenda@gxu.edu.cn
Publikováno v:
BMC Veterinary Research. 6/8/2024, Vol. 20 Issue 1, p1-9. 9p.
A Cross-Domain Approach to Analyzing the Short-Run Impact of COVID-19 on the U.S. Electricity Sector
Autor:
Ruan, Guangchun, Wu, Dongqi, Zheng, Xiangtian, Zhong, Haiwang, Kang, Chongqing, Dahleh, Munther A., Sivaranjani, S., Xie, Le
The novel coronavirus disease (COVID-19) has rapidly spread around the globe in 2020, with the U.S. becoming the epicenter of COVID-19 cases since late March. As the U.S. begins to gradually resume economic activity, it is imperative for policymakers
Externí odkaz:
http://arxiv.org/abs/2005.06631
This paper introduces the concept of Deep Reinforcement Learning based architecture for protective relay design in power distribution systems with many distributed energy resources (DERs). The performance of widely-used overcurrent protection scheme
Externí odkaz:
http://arxiv.org/abs/2003.02422
Autor:
Zhou, Huanyi, Yang, Yunfan, Li, Xinrui, Wu, Shan, Lu, Jiangying, Zhao, Suxin, Wu, Dongqi, Xu, Wenqi, Chen, Peican, Zhou, Liya
Publikováno v:
In Journal of Luminescence November 2023 263