8 citations · 19 across the 18 of their papers we have counts for
21 papers
Digital Twin of Aerosol Jet Printing
Aayushya Agarwal, Jace Rozsa, Matteo Pozzi +2
Aerosol Jet (AJ) printing is a versatile additive manufacturing technique capable of producing high-resolution interconnects on both 2D and 3D substrates. The AJ process is complex…
Adaptive Federated Learning via Dynamical System Model
Aayushya Agarwal, Larry Pileggi, Gauri Joshi
Hyperparameter selection is critical for stable and efficient convergence of heterogeneous federated learning, where clients differ in computational capabilities, and data distribu…
Integrating Forecasting Models Within Steady-State Analysis and Optimization
Aayushya Agarwal, Larry Pileggi
Extreme weather variations and the increasing unpredictability of load behavior make it difficult to determine power grid dispatches that are robust to uncertainties. While machine…
A Hybrid Simulation of DNN-based Gray Box Models
Aayushya Agarwal, Yihan Ruan, Larry Pileggi
Simulation is vital for engineering disciplines, as it enables the prediction and design of physical systems. However, the computational challenges inherent to large-scale simulati…
FedECADO: A Dynamical System Model of Federated Learning
Aayushya Agarwal, Gauri Joshi, Larry Pileggi
Federated learning harnesses the power of distributed optimization to train a unified machine learning model across separate clients. However, heterogeneous data distributions and…
Second-Order Optimization via Quiescence
Aayushya Agarwal, Larry Pileggi, Ronald Rohrer
Second-order optimization methods exhibit fast convergence to critical points, however, in nonconvex optimization, these methods often require restrictive step-sizes to ensure a mo…
Towards Hyperparameter-Agnostic DNN Training via Dynamical System Insights
Carmel Fiscko, Aayushya Agarwal, Yihan Ruan +3
We present a stochastic first-order optimization method specialized for deep neural networks (DNNs), ECCO-DNN. This method models the optimization variable trajectory as a dynamica…
An Equivalent Circuit Approach to Distributed Optimization
Aayushya Agarwal, Larry Pileggi
Distributed optimization is an essential paradigm to solve large-scale optimization problems in modern applications where big-data and high-dimensionality creates a computational b…
An Equivalent Circuit Workflow for Unconstrained Optimization
Aayushya Agarwal, Carmel Fiscko, Soummya Kar +2
We introduce a new workflow for unconstrained optimization whereby objective functions are mapped onto a physical domain to more easily design algorithms that are robust to hyperpa…
ECCO: Equivalent Circuit Controlled Optimization
Aayushya Agarwal, Carmel Fiscko, Soummya Kar +2
We propose an adaptive optimization algorithm for solving unconstrained scaled gradient flow problems that achieves fast convergence by controlling the optimization trajectory shap…
Continuous Switch Model and Heuristics for Mixed-Integer Problems in Power Systems
Aayushya Agarwal, Amritanshu Pandey, Larry Pillegi
Many power systems operation and planning computations (e.g., transmission and generation switching and placement) solve a mixed-integer nonlinear problem (MINLP) with binary varia…
Adversarially Robust Learning for Security-Constrained Optimal Power Flow
Priya L. Donti, Aayushya Agarwal, Neeraj Vijay Bedmutha +2
In recent years, the ML community has seen surges of interest in both adversarially robust learning and implicit layers, but connections between these two areas have seldom been ex…
Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF
Timothy McNamara, Amritanshu Pandey, Aayushya Agarwal +1
Alternating-Current Optimal Power Flow (AC-OPF) is an optimization problem critical for planning and operating the power grid. The problem is traditionally formulated using only co…
Fast AC Steady-State Power Grid Simulation and Optimization Using Prior Knowledge
Aayushya Agarwal, Amritanshu Pandey, Larry Pileggi
Fast and accurate optimization and simulation is widely becoming a necessity for large scale transmission resiliency and planning studies such as N-1 SCOPF, batch contingency solve…
Incremental Model Building Homotopy Approach for Solving Exact AC-Constrained Optimal Power Flow
Amritanshu Pandey, Aayushya Agarwal, Larry Pileggi
Alternating-Current Optimal Power Flow (AC-OPF) is framed as a NP-hard non-convex optimization problem that solves for the most economical dispatch of grid generation given the AC-…
A LASSO-Inspired Approach for Localizing Power System Infeasibility
Shimiao Li, Amritanshu Pandey, Aayushya Agarwal +2
A method is proposed to identify and localize the cause of network collapse with augmented power flow analysis for a grid model with insufficient resources. Owing to heavy network…
SUGAR-R: Robust Online Restoration Platform for SCADA-Absent Grid
Amritanshu Pandey, Aayushya Agrawal, Marko Jereminov +1
Secure and fast grid restoration from a collapsed state is increasingly critical as blackouts are becoming more prevalent around the globe. Generally, the restoration of grid durin…
Implicitly Modeling Frequency Control within Power Flow
Aayushya Agarwal, Amritanshu Pandey, Marko Jereminov +1
In this paper, we extend a circuit-based, current-voltage power flow formulation to include frequency deviations and implicitly model generator primary and secondary control action…
Improving Voltage Profile of the Nigerian Power Grid
Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov +3
Extreme voltages at the system nodes are one of the primary causes for total and partial collapse of the Nigerian grid. In this paper, we develop a framework to re-dispatch the vol…
Robust Sequential Steady-State Analysis of Cascading Outages
Amritanshu Pandey, Aayushya Agarwal, Marko Jereminov +3
Simulating potential cascading failures can be useful for avoiding or mitigating such events. Currently, existing steady-state analysis tools are ill-suited for simulating cascadin…
Continuously Differentiable Analytical Models for Implicit Control within Power Flow
Aayushya Agarwal, Amritanshu Pandey, Marko Jereminov +1
Achieving robust and scalable convergence for simulation of realistic power flow cases can be challenging. One specific issue relates to the disconnected solution space that is cre…