CARLO YUKIO NUNES 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, used only the 8 available sensor inputs, trained a LinearRegression baseline and a tuned RandomForest, and validated on a locked later time period. The work reports honest held-out MAE/RMSE/R², includes residual analysis, and documents deployment limits, drift risks, and monitoring in a concise model card.

• Leakage-Free Feature Selection
• Honest Held-Out Evaluation
• Model Comparison and Tuning
• Plain-Language Technical Communication