On the robustness of machine-learnt proxies for security constrained optimal power flow solvers
In this paper, we focus on the robustness of machine learning based proxies used to speed
up, alone or jointly with state-of-the-art mathematical optimization methods, optimal power …
up, alone or jointly with state-of-the-art mathematical optimization methods, optimal power …
A Two-Stage Approach for Topology Change-Aware Data-Driven OPF
Data-driven OPF has been widely studied recently to satisfy the real-time requirements of
applications like economic dispatch, security analysis, etc. However, traditional data-driven …
applications like economic dispatch, security analysis, etc. However, traditional data-driven …