Navya Rastogi completed Energy and Renewable: Machine Learning for the Power Grid

Built a leakage-aware turbine yield predictor using the 8 operational sensor features and explicitly excluded downstream CO/NOx emissions. Trained and compared a LinearRegression baseline with a RandomForest on an earlier-years train / later-years test split, then reported honest held-out MAE, RMSE, and R2. Also documented the model’s intended use, limitations, and a practical drift-monitoring plan.

• Leakage-Free Feature Selection
• Time-Based Holdout Validation
• Honest Held-Out Evaluation
• Plain-Language Model Communication