10 citations · 10 across the 6 of their papers we have counts for
4 papers · 1 filter
Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics
Pooja Algikar, Lamine Mili, Kiran Karra +2
The dynamics of a power system with a significant presence of renewable energy resources are growing increasingly nonlinear. This nonlinearity is a result of the intermittent natur…
Identification of Power System Oscillation Modes using Blind Source Separation based on Copula Statistic
Pooja Algikar, Lamine Mili, Mohsen Ben Hassine +3
The dynamics of a power system with large penetration of renewable energy resources are becoming more nonlinear due to the intermittence of these resources and the switching of the…
Robust Gaussian Process Regression with Huber Likelihood
Pooja Algikar, Lamine Mili
Gaussian process regression in its most simplified form assumes normal homoscedastic noise and utilizes analytically tractable mean and covariance functions of predictive posterior…
A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow
Pooja Algikar, Yijun Xu, Somayeh Yarahmadi +1
In this paper, we propose a robust data-driven process model whose hyperparameters are robustly estimated using the Schweppe-type generalized maximum likelihood estimator. The prop…