3 papers
eess.SY2026
DiffOPF: Diffusion Solver for Optimal Power Flow
Milad Hoseinpour, Vladimir Dvorkin
The optimal power flow (OPF) is a multi-valued, non-convex mapping from loads to dispatch setpoints. The variability of system parameters (e.g., admittances, topology) further cont…
eess.SY2026
Outage Identification from Electricity Market Data: Quickest Change Detection Approach
Milad Hoseinpour, Shubhanshu Shekhar, Vladimir Dvorkin
Power system outages expose market participants to significant financial risk unless promptly detected and hedged. We develop an outage identification method from public market sig…
cs.LG2025
Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets
Milad Hoseinpour, Vladimir Dvorkin
High-quality power flow datasets are essential for training machine learning models in power systems. However, security and privacy concerns restrict access to real-world data, mak…