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Dongqi Wu
Dongqi Wu
China Energy Engineering Corp.
Adresse e-mail validée de gedi.com.cn
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A cross-domain approach to analyzing the short-run impact of COVID-19 on the US electricity sector
G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh, S Sivaranjani, ...
Joule 4 (11), 2322-2337, 2020
1722020
An open-source extendable model and corrective measure assessment of the 2021 texas power outage
D Wu, X Zheng, Y Xu, D Olsen, B Xia, C Singh, L Xie
Advances in Applied Energy 4, 100056, 2021
782021
A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids
X Zheng, N Xu, L Trinh, D Wu, T Huang, S Sivaranjani, Y Liu, L Xie
Scientific Data 9 (1), 359, 2022
47*2022
Nested reinforcement learning based control for protective relays in power distribution systems
D Wu, X Zheng, D Kalathil, L Xie
2019 IEEE 58th conference on decision and control (CDC), 1925-1930, 2019
322019
Deep reinforcement learning-based robust protection in DER-rich distribution grids
D Wu, D Kalathil, MM Begovic, KQ Ding, L Xie
IEEE Open Access Journal of Power and Energy 9, 537-548, 2022
192022
How much demand flexibility could have spared texas from the 2021 outage?
D Wu, X Zheng, A Menati, L Smith, B Xia, Y Xu, C Singh, L Xie
Advances in Applied Energy 7, 100106, 2022
132022
An open-source model for simulation and corrective measure assessment of the 2021 texas power outage
D Wu, X Zheng, Y Xu, D Olsen, B Xia, C Singh, L Xie
arXiv preprint arXiv:2104.04146, 2021
132021
A cross-domain approach to analyzing the short-run impact of COVID-19 on the US electricity sector, Joule 4 (11)(2020) 2322–2337
G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh, S Sivaranjani, ...
92020
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids (Dataset)
X Zheng, N Xu, D Wu, L Trinh, T Huang, S Sivaranjani, Y Liu, L Xie
Zenodo https://doi. org/10.5281/zenodo 5130612, 2021
62021
& Xie, L.(2020)
G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh, S Sivaranjani
A crossdomain approach to analyzing the short-run impact of COVID-19 on the …, 0
5
A cross-domain approach to analyzing the short-run impact of COVID-19 on the US electricity sector. Joule 2020; 4: 2322–37
G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh
5
Fast electromagnetic transient simulation based on hierarchical low-rank approximation
L Zhang, B Wang, D Wu, L Xie, PR Kumar, W Shi
2019 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2019
42019
Analyzing extreme events in power systems: An open, cross-domain data-driven approach
X Zheng, D Wu, L Watts, EN Pistikopoulos, L Xie
IEEE Power and Energy Magazine 20 (6), 47-55, 2022
32022
OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation
R El Helou, K Lee, D Wu, L Xie, S Shakkottai, V Subramanian
IEEE Transactions on Smart Grid 14 (2), 1555-1565, 2022
32022
PyProD: A machine learning-friendly platform for protection analytics in distribution systems
D Wu, D Kalathil, M Begovic, L Xie
arXiv preprint arXiv:2109.05802, 2021
32021
A cross‐domain approach to analyzing the short‐run impact of COVID‐19 on the US electricity sector joule
G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh, S Sivaranjani, ...
32020
Towards an AI-friendly cross-timescale simulation and analysis platform for electric distribution systems
D Wu, R El Helou, L Xie
iEnergy 1 (1), 133-140, 2022
12022
Apparatus and systems for power system protective relay control using reinforcement learning
WU Dongqi, X Zheng, L Xie, D Kalathil, M Begovic
US Patent App. 17/242,947, 2021
12021
COVID-EMDA+ (Coronavirus Disease-Electricity Market Data Aggregation+)
L Xie, D Wu, X Zheng, J Wu
Oak Ridge National Laboratory, 2024
2024
Data-Driven Hazard and Disaster Mitigation in Power System Abnormal Conditions
D Wu
2022
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