9 citations · 14 across the 6 of their papers we have counts for
6 papers
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
Jiayang Ren, Ningning You, Kaixun Hua +2
This paper presents a practical global optimization algorithm for the K-center clustering problem, which aims to select K samples as the cluster centers to minimize the maximum wit…
A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization
Ahmed Al-Shafei, Hamidreza Zareipour, Yankai Cao
The accelerating technological landscape and drive towards net-zero emission made the power system grow in scale and complexity. Serial computational approaches for grid planning a…
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation
Yun Li, Yixiu Wang, Yifu Chen +5
This paper proposes a deep learning-based optimal battery management scheme for frequency regulation (FR) by integrating model predictive control (MPC), supervised learning (SL), r…
Multiscale Model Predictive Control of Battery Systems for Frequency Regulation Markets using Physics-Based Models
Yankai Cao, Seong Beom Lee, Venkat R. Subramanian +1
We propose a multiscale model predictive control (MPC) framework for stationary battery systems that exploits high-fidelity models to trade-off short-term economic incentives provi…
A Sigmoidal Approximation for Chance-Constrained Nonlinear Programs
Yankai Cao, Victor M. Zavala
We propose a sigmoidal approximation for the value-at-risk (that we call SigVaR) and we use this approximation to tackle nonlinear programs (NLPs) with chance constraints. We prove…
Graph-Based Modeling and Simulation of Complex Systems
Jordan Jalving, Yankai Cao, Victor M. Zavala
We present graph-based modeling abstractions to represent cyber-physical dependencies arising in complex systems. Specifically, we propose an algebraic graph abstraction to capture…