3 papers
cs.LG2024
Graph Neural Ordinary Differential Equations for Coarse-Grained Socioeconomic Dynamics
James Koch, Pranab Roy Chowdhury, Heng Wan +4
We present a data-driven machine-learning approach for modeling space-time socioeconomic dynamics. Through coarse-graining fine-scale observations, our modeling framework simplifie…
eess.SY2023
Quantifying the multi-scale and multi-resource impacts of large-scale adoption of renewable energy sources
Elnaz Kabir, Vivek Srikrishnan, M. Vivienne Liu +2
The variability and intermittency of renewable energy sources pose several challenges for power systems operations, including energy curtailment and price volatility. In power syst…
stat.AP2023
Emulation methods and adaptive sampling increase the efficiency of sensitivity analysis for computationally expensive models
Haochen Ye, Robert E. Nicholas, Vivek Srikrishnan +1
Models with high-dimensional parameter spaces are common in many applications. Global sensitivity analyses can provide insights on how uncertain inputs and interactions influence t…