OATS-MCS: SCOPF Monte Carlo Sampling Framework

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Harrrisonn
DOI: 10.5281/zenodo.18792808
Cited by: 0

Abstract

Initial stable release of OATS-MCS. Included Components Preventive DC-SCOPF sampling framework Deterministic block-parallel Monte Carlo / Sobol / LHS sampling IEEE-24R benchmark system Physical-consistency validation pipeline Neural network proxy training demo Notes Sampling architecture supports scalable scenario expansion. Compatible with Python 3.11, Pyomo 6.9.2, and Gurobi 13.0. Licensed under GPLv3.

Fields of Study & Subjects

Electric Power System Optimization Power System Reliability and Maintenance Optimal Power Flow Distribution

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN