Gabby Devia Prastika Palmindo completed Energy and Renewable: Machine Learning for the Power Grid

Built a leakage-free gas-turbine yield predictor using the 8 legitimate ambient and turbine sensors, explicitly excluding downstream CO and NOx emissions. Compared a LinearRegression baseline with a RandomForest model, validated on a locked-away later-year test split, and reported honest held-out performance around 1.5 MWh MAE and 0.984 R2. Also documented limitations, drift monitoring, and a manager-friendly explanation of when the model can fail.

• Leakage-Free Feature Selection
• Honest Held-Out Evaluation
• Residual-Based Error Reading
• Plain-Language Model Communication