This repository contains the supplementary material to replicate the results in the preprint Disaggregation of Energy System Optimization Models Using Machine Learning for Identification of Active Constraints (10.1016/j.segan.2025.101772)
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Appendix: Supplementary material with detailed model formulation, additional machine learning results and parallelization setup
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classifier.py: contains the code to replicate the training and validation of the machine learning algorithms
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template.py, transport.py: contains the Pyomo models used to test the dissaggregation process. The input data can be found in 10.3217/kf8wx-x7218