3 citations · 4 across the 10 of their papers we have counts for
14 papers
Data-Driven Operator Theoretic Methods for Phase Space Learning and Analysis
Sai Pushpak Nandanoori, Subhrajit Sinha, Enoch Yeung
This paper uses data-driven operator theoretic approaches to explore the global phase space of a dynamical system. We defined conditions for discovering new invariant subspaces in…
Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees
Sai Pushpak Nandanoori, Soumya Kundu, Jianming Lian +3
Recent studies have demonstrated the potential of flexible loads in providing frequency response services. However, uncertainty and variability in various weather-related and end-u…
Model-Agnostic Algorithm for Real-Time Attack Identification in Power Grid using Koopman Modes
Sai Pushpak Nandanoori, Soumya Kundu, Seemita Pal +2
Malicious activities on measurements from sensors like Phasor Measurement Units (PMUs) can mislead the control center operator into taking wrong control actions resulting in disrup…
Computationally Efficient Learning of Large Scale Dynamical Systems: A Koopman Theoretic Approach
Subhrajit Sinha, Sai Pushpak Nandanoori, Enoch Yeung
In recent years there has been a considerable drive towards data-driven analysis, discovery and control of dynamical systems. To this end, operator theoretic methods, namely, Koopm…
Stochastic Virtual Battery Modeling of Uncertain Electrical Loads Using Variational Autoencoder
Indrasis Chakraborty, Sai Pushpak Nandanoori, Soumya Kundu +1
Effective utilization of flexible loads for grid services, while satisfying end-user preferences and constraints, requires an accurate estimation of the aggregated predictive flexi…
Distributed Small-Signal Stability Conditions for Inverter-Based Unbalanced Microgrids
Sai Pushpak Nandanoori, Soumya Kundu, Wei Du +2
The proliferation of inverter-based generation and advanced sensing, controls, and communication infrastructure have facilitated the accelerated deployment of microgrids. A coordin…