5 citations · 5 across the 3 of their papers we have counts for
5 papers
Discovering Power Grid Dynamics from Data Using Low-Rank Sparse Modeling
Aiman Mushtaq Purra, Danish Rafiq
The growing integration of renewable energy sources has significantly reduced grid inertia, making modern power systems more vulnerable to instabilities. Accurate estimation of dyn…
Nonlinear Model Order Reduction of Power Grid Networks using Quadratic Manifolds
Farhana Farooq, Danish Rafiq
The increasing size and complexity of modern power systems have led to a high-dimensional mathematical model for transient stability studies, rendering full-scale simulations compu…
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps
Asif Hamid, Danish Rafiq, Shahkar Ahmad Nahvi +1
Complex systems often show macroscopic coherent behavior due to the interactions of microscopic agents like molecules, cells, or individuals in a population with their environment.…
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing
Junaid Farooq, Danish Rafiq, Pantelis R. Vlachas +1
Forecasting complex system dynamics, particularly for long-term predictions, is persistently hindered by error accumulation and computational burdens. This study presents RefreshNe…
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations
Asif Hamid, Danish Rafiq, Shahkar Ahmad Nahvi +1
Multiscale is a hallmark feature of complex nonlinear systems. While the simulation using the classical numerical methods is restricted by the local \textit{Taylor} series constrai…