Pranav Balgude 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 tuned RandomForest, and evaluated both on a locked-away later time period. Reported honest held-out MAE/RMSE/R², read residual behavior, and documented intended use, limitations, and monitoring in a model card.

• Leakage-Free Feature Selection
• Honest Held-Out Evaluation
• Practical Model Monitoring