Ziyahulhaq Daddikar completed Energy and Renewable: Machine Learning for the Power Grid

Built a turbine energy-yield predictor end to end: framed TEY as the target, used a time-based holdout, compared LinearRegression against a RandomForest, and reported honest held-out MAE/RMSE/R². The accompanying model card explains the feature choices, why CO/NOx were excluded, the plant-specific limits, and a practical monitoring plan for drift.

• Leakage-Aware Problem Framing
• Held-Out Evaluation Discipline
• Model Card Communication