1 citations · 1 across the 4 of their papers we have counts for
4 papers
Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation
Zhixiong Hu, Yijun Xu, Mert Korkali +3
The increasing penetration of renewable energy resources in power systems, represented as random processes, converts the traditional deterministic economic dispatch problem into a…
High-dimensional Stochastic Inversion via Adjoint Models and Machine Learning
Charanraj A. Thimmisetty, Wenju Zhao, Xiao Chen +2
Performing stochastic inversion on a computationally expensive forward simulation model with a high-dimensional uncertain parameter space (e.g. a spatial random field) is computati…
Power Distribution System Synchrophasors with Non-Gaussian Errors: Real-World Measurements and Analysis
Can Huang, Charanraj A. Thimmisetty, Xiao Chen +6
This letter studies the synchrophasor measurement error of electric power distribution systems with on-line and off-line measurements using graphical and numerical tests. It demons…
A Flexible Uncertainty Quantification Framework for General Multi-Physics Systems
Akshay Mittal, Xiao Chen, Charles Tong +1
We present a "module-based hybrid" Uncertainty Quantification (UQ) framework for general nonlinear multi-physics simulation. The proposed methodology, introduced in [\hyperlink{ref…