AMEN ALLAH YOUSSEF completed Energy and Renewable: Machine Learning for the Power Grid

Built a leakage-aware gas-turbine TEY predictor using the 8 valid ambient and turbine sensor features, excluding downstream CO/NOx emissions. Validated on a true time-based holdout (2014–2015), compared LinearRegression against a tuned RandomForest, and reported honest held-out performance of about 1.53 MWh MAE, 1.94 RMSE, and 0.983 R². Also documented intended use, limitations, and a monitoring plan in a concise model card.

• Leakage-Free Feature Selection
• Time-Based Holdout Evaluation
• Baseline-to-Ensemble Comparison
• Plain-Language Model Communication