89 citations · 194 across the 13 of their papers we have counts for
4 papers · 1 filter
A Convex Neural Network Solver for DCOPF with Generalization Guarantees
Ling Zhang, Yize Chen, Baosen Zhang
The DC optimal power flow (DCOPF) problem is a fundamental problem in power systems operations and planning. With high penetration of uncertain renewable resources in power systems…
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…
Input Convex Neural Networks for Optimal Voltage Regulation
Yize Chen, Yuanyuan Shi, Baosen Zhang
The increasing penetration of renewables in distribution networks calls for faster and more advanced voltage regulation strategies. A promising approach is to formulate the problem…
Learning to Solve Network Flow Problems via Neural Decoding
Yize Chen, Baosen Zhang
Many decision-making problems in engineering applications such as transportation, power system and operations research require repeatedly solving large-scale linear programming pro…