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…
cs.AI2025
Towards a Framework for Supporting the Ethical and Regulatory Certification of AI Systems
Fabian Kovac, Sebastian Neumaier, Timea Pahi +9
Artificial Intelligence has rapidly become a cornerstone technology, significantly influencing Europe's societal and economic landscapes. However, the proliferation of AI also rais…