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Pegah-Ardehkhani / Energy-Optimization-OR-and-ML

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

machine-learning random-forest linear-programming ml uncertainty gurobi duality sensitivity-analysis operations-research energy-system lp-problem lp parametric-analysis gurobipy explainability mathematical-optimization stochastic-programming reduced-cost dual-values shadow-price
  • Updated Sep 1, 2025
  • Jupyter Notebook

MuhammadTalhaPawa / Energy-Optimization-OR-and-ML

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

machine-learning random-forest linear-programming uncertainty gurobi duality sensitivity-analysis operations-research lp-problem lp parametric-analysis random-forest-regressor gurobipy mathematical-optimization stochastic-programming reduced-cost dual-values shadow-price
  • Updated Oct 9, 2025
  • Jupyter Notebook

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