Abhishek Bagi completed Energy and Renewable: Machine Learning for the Power Grid

Built a leakage-free 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 validated on a genuine time-based hold-out split. Reported honest held-out performance (MAE 1.53 MWh, RMSE 1.94 MWh, R2 0.98) and documented practical limits plus a monitoring/retraining plan.

• Leakage-Free Feature Engineering
• Honest Held-Out Evaluation
• Residual-Based Error Reading
• Plain-Language Model Communication