3 papers
eess.SY2026
Severity-Aware Minimum Security Sets for Accelerated Preventive SCOPF Using Machine Learning
Mohammad Iman Alizadeh, Saeed Zeynali, Salah Ghamizi +1
This paper proposes a severity-aware machine learning framework for reducing the computational burden of preventive AC security-constrained optimal power flow (PSCOPF). The central…
cs.LG2025
Test Time Training for AC Power Flow Surrogates via Physics and Operational Constraint Refinement
Panteleimon Dogoulis, Mohammad Iman Alizadeh, Sylvain Kubler +1
Power Flow (PF) calculation based on machine learning (ML) techniques offer significant computational advantages over traditional numerical methods but often struggle to maintain f…
eess.SY2023
Interpreting the Value of Flexibility in AC Security-Constrained Transmission Expansion Planning via a Cooperative Game Framework
Andrey Churkin, Wangwei Kong, Mohammad Iman Alizadeh +3
Security-constrained transmission expansion planning (SCTEP) is an inherently complex problem that requires simultaneously solving multiple contingency states of the system (usuall…