Physics-Informed Sparse Gaussian Process for Probabilistic Stability Analysis of Large-Scale Power System With Dynamic PVs and Loads
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA
2. Lawrence Livermore National Laboratory, Livermore, CA, USA
3. National Renewable Energy Laboratory, Golden, CO, USA
Funder
National Science Foundation
Department of Energy Advanced Grid Modeling Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
https://ieeexplore.ieee.org/ielam/59/10107552/9813554-aam.pdf
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1. Probabilistic baseline estimation via Gaussian process
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5. A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas
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