Shaik Jouzia Afreen H completed Energy and Renewable: Machine Learning for the Power Grid

Built a turbine energy-yield predictor end to end using leakage-free sensor inputs, a time-based train/test split, and a RandomForest model that outperformed a LinearRegression baseline. Reported honest held-out performance (MAE, RMSE, R²), read residual behavior, and documented intended use, exclusions, limitations, and monitoring in a concise model card.

• Leakage-Free Feature Selection
• Honest Held-Out Evaluation
• Model Card Risk Communication