89 citations · 194 across the 13 of their papers we have counts for
8 papers · 1 filter
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…
Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks
Yize Chen, Yushi Tan, Ling Zhang +1
We study the security threats of power system operation brought by a class of data injection attacks upon load forecasting algorithms. In particular, with minimal assumptions on th…
Non-Wire Alternatives: an Additional Value Stream for Distributed Energy Resources
Jesus E. Contreras-Ocaña, Yize Chen, Uzma Siddiqi +1
Distributed energy resources (DERs) can serve as non-wire alternatives (NWAs) to capacity expansion by managing peak load to avoid or delay traditional expansion projects. However,…
Forecasting Spatio-Temporal Renewable Scenarios: a Deep Generative Approach
Congmei Jiang, Yize Chen, Yongfang Mao +2
The operation and planning of large-scale power systems are becoming more challenging with the increasing penetration of stochastic renewable generation. In order to minimize the d…
Optimal Control Via Neural Networks: A Convex Approach
Yize Chen, Yuanyuan Shi, Baosen Zhang
Control of complex systems involves both system identification and controller design. Deep neural networks have proven to be successful in many identification tasks, however, from…