Muhammad Moazzam Khan completed Energy and Renewable: Machine Learning for the Power Grid

Built a leakage-aware turbine yield predictor end to end: framed TEY as the target, excluded downstream CO/NOx emissions, trained a LinearRegression baseline and a RandomForest model, and validated on a locked later-period test split. The final model was evaluated honestly with held-out MAE, RMSE, R2, residual analysis, and a simple monitoring rule for drift.

• Leakage-Free Feature Selection
• Time-Based Validation Discipline
• Honest Held-Out Evaluation
• Operational Monitoring Thinking