Erra Abhilash completed Energy and Renewable: Machine Learning for the Power Grid

Built a leakage-aware turbine yield predictor end to end: framed TEY as a regression target, excluded downstream CO/NOx emissions, trained a LinearRegression baseline and a tuned RandomForest, and validated on a genuine time-based holdout. Reported honest held-out performance (MAE, RMSE, R2) and documented practical limits, including single-plant scope, operating-range constraints, and a monitoring plan for drift.

• Leakage-Free Feature Selection
• Honest Held-Out Evaluation
• Residual-Based Error Reading
• Basic Model Monitoring Design