Search Results for author: Yeesian Ng

Found 2 papers, 2 papers with code

Statistical Learning For DC Optimal Power Flow

1 code implementation23 Jan 2018 Yeesian Ng, Sidhant Misra, Line A. Roald, Scott Backhaus

Although the number of possible bases is exponential in the size of the system, we show that only a few of them are relevant to system operation.

Optimization and Control

PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations

2 code implementations6 Nov 2017 Carleton Coffrin, Russell Bent, Kaarthik Sundar, Yeesian Ng, Miles Lubin

This work provides a brief introduction to the design of PowerModels, validates its implementation, and demonstrates its effectiveness with a proof-of-concept study analyzing five different formulations of the Optimal Power Flow problem.

Optimization and Control Computational Engineering, Finance, and Science

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