This repository contains scripts to set up a workflow using Python for the three cases in the SPE11 project, and to reproduce the sumbitted results from the OPM team published in the SPE11 benchmark ...
OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...
Abstract: Numerous efforts have been made to find efficient optimization methods that reduce resolution times to obtain solutions to the optimal power flow problem in alternating current (ACOPF).
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