2 papers
cs.LG2025
Online Meal Detection Based on CGM Data Dynamics
Ali Tavasoli, Heman Shakeri
We utilize dynamical modes as features derived from Continuous Glucose Monitoring (CGM) data to detect meal events. By leveraging the inherent properties of underlying dynamics, th…
cs.LG2024
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman Pseudospectra
Ali Tavasoli, Behnaz Moradijamei, Heman Shakeri
This paper presents an interpretable machine learning approach that characterizes load dynamics within an operator-theoretic framework for electricity load forecasting in power gri…