30 citations · 32 across the 5 of their papers we have counts for
5 papers
Building Power Grid Models from Open Data: A Complete Pipeline from OpenStreetMap to Optimal Power Flow
Andrea Britto, Thiago Spina, Weiwei Yang +3
Access to realistic transmission grid models is essential for power systems research, yet detailed network data in the United States remains restricted under critical-infrastructur…
Fast and Reliable Contingency Screening with Input-Convex Neural Networks
Nicolas Christianson, Wenqi Cui, Steven Low +2
Power system operators must ensure that dispatch decisions remain feasible in case of grid outages or contingencies to prevent cascading failures and ensure reliable operation. How…
Efficient Reinforcement Learning Through Trajectory Generation
Wenqi Cui, Linbin Huang, Weiwei Yang +1
A key barrier to using reinforcement learning (RL) in many real-world applications is the requirement of a large number of system interactions to learn a good control policy. Off-p…
A Frequency Domain Approach to Predict Power System Transients
Wenqi Cui, Weiwei Yang, Baosen Zhang
The dynamics of power grids are governed by a large number of nonlinear differential and algebraic equations (DAEs). To safely operate the system, operators need to check that the…
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
The novel coronavirus (COVID-19) pandemic has posed unprecedented challenges for the utilities and grid operators around the world. In this work, we focus on the problem of load fo…