An energy optimization linear problem using a combination of Operations Research (OR) and Machine Learning (ML) including sensitivity and parametric analysis, stochastic programming, robust optimization, and ML-assisted optimization

Solver, Sensitivity Analysis

Julia package for standardized extraction and decision-support reporting of shadow prices (duals) and constraint tightness from network and equilibrium models.

⚡ Optimize energy generation using Operations Research and Machine Learning to maximize profit while managing operational constraints.