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 ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

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).