Ayush completed Energy and Renewable: Machine Learning for the Power Grid
What Ayush demonstrated
Built a leakage-aware turbine yield predictor end to end: framed TEY as a regression target, used only upstream sensor inputs, trained a LinearRegression baseline and a RandomForest model, and evaluated on a locked-away later time period. The candidate reported held-out MAE, RMSE, and R2, inspected residual behavior, and documented practical limits and monitoring needs in a model card.
- Leakage-Free Feature Selection
- Held-Out Model Evaluation
- Residual-Based Error Analysis
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