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Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression., , , , and . CoRR, (2019)Hybrid Multiscale Finite Volume Method for Advection-Diffusion Equations Subject to Heterogeneous Reactive Boundary Conditions., and . Multiscale Modeling & Simulation, 14 (4): 1341-1376 (2016)Approximate Bayesian model inversion for PDEs with heterogeneous and state-dependent coefficients., and . J. Comput. Phys., (2019)Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input., , , , , , , and . SIAM/ASA J. Uncertain. Quantification, 3 (1): 873-896 (2015)Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling., , , and . CoRR, (2023)Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence., , , and . CoRR, (2018)A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure., , , , and . CoRR, (2019)Stochastic Collocation Methods for Nonlinear Parabolic Equations with Random Coefficients., and . SIAM/ASA J. Uncertain. Quantification, 4 (1): 475-494 (2016)Physics-informed machine learning with conditional Karhunen-Loève expansions., , and . J. Comput. Phys., (2021)Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems., , and . CoRR, (2021)